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项目基本信息项目名称磁定位辅助多模态融合微创手术组织自动配准系统
主要一级学科临床医学
科技活动类型应用研究
所在研究基地类型国家(重点)实验室
所在研究基地名称精准外科与再生医学国家地方联合工程研究中心
申请人基本信息姓名王志博性别出生年月2001-11
手机号码13946112059学号4122198033
所在单位未来技术学院
所在院系医工学
行政职务
职称其他
学位学士
支持对象博士生
导师信息导师姓名导师人员编号导师所在学院所属一级学科手机号码
吴荣谦1100003336第一附属医院临床医学18629053941
参与人姓名出生年月所在学院职称已取得最高学位所属一级学科手机号码
吕毅1963-04第一附属医院正高级博士临床医学13991200581
吴荣谦1971-12第一附属医院正高级博士临床医学18629053941
夏灿2000-12未来技术学院其他学士工程与技术科学基础学科18796135096
郁乐2001-11未来技术学院其他学士工程与技术科学基础学科18821691663
彭薇2002-09未来技术学院其他学士信息与系统科学相关工程与17700249573
技术
共计:6人。其中高级职称2人;中级职称0人。
项目摘要500字内在响应健康中国和制造强国战略部署的背景下,《“十四五”医疗装备产业发展规划》明确强调了医工协同的重要性,提倡开展医疗装备临床应用的创新研究,以提升微创治疗和术中精准成像等医疗装备的性能水平,并推动医疗装备向智能化、精准化方向发展。特别是在微创外科领域,外科医生常因内窥镜视野有限而面临挑战,尤其在定位神经、血管等关键解剖结构时,风险较高,可能会增加误伤组织结构的风险,甚至遗留恶性组织。现行的导航技术通常要求医生在手术关键时刻手动进行配准,然而在忙碌的临床手术环境中,医生往往难以分出大量时间来手动进行这一过程。为了解决这些挑战,我们的项目采用了磁辅助定位技术与多模态影像融合技术,并创新自动配准算法,显著提高了外科医生在手术环境中的感知能力。通过高效融合术前三维影像与术中二维影像,并在腹腔镜视频中实现肿瘤、血管等关键解剖结构的精确配准,这一方法不仅大幅提升了手术的精确性和安全性,降低了误伤风险,同时提高手术成功率。此外,本项目在精确导航、疗效评估、辅助医疗诊断等多方面展现出显著的应用潜力,有效提升了手术患者的远期生存率和生活质量,为微创手术自动导航配准提供有效解决方案。
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5篇(以内)代表性论文(须为第一作者或通讯作者)论文名期刊名(全称)影响因子WOS被引次数
Intelligent Surgery Enters the Blind Spot of Lumpectomy Liver ResectionChina Medical Artificial Intelligence Conference00
Intelligent digital fogging technology shows great potential in laparoscopic hepatectomy surgeryChina Medical Artificial Intelligence Conference00
Intelligent Surgical Confidential Assistant Helps Precise Magnetic Assisted Vascular Anastomosis2023 American College of Surgeons Clinical Congress00
近5年SCI论文数总数0近5年ESI论文数总数0
第一或通讯作者数0第一或通讯作者数0
5项(以内)代表性科研项目(须为项目负责人,国家级项目可扩展至课题负责人)项目名称项目级别项目状态直接经费(万元)
5个(以内)代表性科研获奖成果名称授奖级别授奖年度第几完成人
2023产业融合发展——新工科创新大赛一等奖国家级20231
第二届中国研究生“双碳”创新与创意大赛二等奖国家级20231
第十三届“挑战杯”中国大学生创业计划竞赛国赛三等奖国家级20231
第六届智慧医疗创新大赛全国总决赛应用创新赛道二等奖国家级20232
第九届互联网+创新创业大赛陕西省省赛省部级20232
申请发明专利数6授权发明专利数0
5个(以内)重要学术组织任职学术组织名称职位名称组织级别
中国抗癌协会会员国内级
中国生物医学工程学会会员国内级
5个(以内)重要期刊任职期刊名(全称)职位名称影响因子
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"术的应用将解决微创手术中由于视野受限所带来的组织辨识困难和深部结构不可见的问题,显著", "score": 1.0 } ] }, { "bbox": [ 74, 113, 512, 126 ], "spans": [ { "bbox": [ 74, 113, 512, 126 ], "type": "text", "content": "增加复杂微创手术的成功率,同时提升手术的安全性和效率。进一步地,本项目旨在实现精准、", "score": 1.0 } ] }, { "bbox": [ 74, 126, 517, 139 ], "spans": [ { "bbox": [ 74, 126, 517, 139 ], "type": "text", "content": "微创理念下的术中多模融合实时智能导航平台,制定术中三维可视化导航的相关规范,并进行临", "score": 1.0 } ] }, { "bbox": [ 74, 140, 517, 154 ], "spans": [ { "bbox": [ 74, 140, 517, 154 ], "type": "text", "content": "床试点应用。通过这些创新,项目将数字化、信息化、智能化地赋能外科诊疗的发展,为外科手", "score": 1.0 } ] }, { "bbox": [ 74, 154, 517, 166 ], "spans": [ { "bbox": [ 74, 154, 517, 166 ], "type": "text", "content": "术提供更高效、更安全的解决方案,这不仅符合当前医疗技术发展的趋势,也是对现代精准外科", "score": 1.0 } ] }, { "bbox": [ 75, 169, 177, 179 ], "spans": [ { "bbox": [ 75, 169, 177, 179 ], "type": "text", "content": "手术理念的重要推进。", "score": 1.0 } ] } ] }, { "bbox": [ 74, 195, 518, 234 ], "type": "ref_text", "angle": 0, "index": 1, "lines": [ { "bbox": [ 74, 194, 520, 208 ], "spans": [ { "bbox": [ 74, 194, 520, 208 ], "type": "text", "content": "[1] MEARA JG, LEATHER AJ, HAGANDER L, et al. Global Surgery 2030: evidence and solutions", "score": 1.0 } ] }, { "bbox": [ 74, 208, 518, 222 ], "spans": [ { "bbox": [ 74, 208, 518, 222 ], "type": "text", "content": "for achieving health, welfare, and economic development[J]. Int J Obstet Anesth, 2016,", "score": 1.0 } ] }, { "bbox": [ 73, 221, 127, 235 ], "spans": [ { "bbox": [ 73, 221, 127, 235 ], "type": "text", "content": "25: 75-78.", "score": 1.0 } ] } ] }, { "bbox": [ 74, 236, 518, 261 ], "type": "ref_text", "angle": 0, "index": 2, "lines": [ { "bbox": [ 75, 234, 519, 250 ], "spans": [ { "bbox": [ 75, 234, 519, 250 ], "type": "text", "content": "[2] MASCAGNI P, ALAPATT D, SESTINI L, et al. Computer vision in surgery: from potential", "score": 1.0 } ] }, { "bbox": [ 73, 249, 354, 263 ], "spans": [ { "bbox": [ 73, 249, 354, 263 ], "type": "text", "content": "to clinical value[J]. NPJ Digit Med, 2022, 5(1): 163.", "score": 1.0 } ] } ] }, { "bbox": [ 75, 263, 515, 288 ], "type": "ref_text", "angle": 0, "index": 3, "lines": [ { "bbox": [ 74, 261, 516, 277 ], "spans": [ { "bbox": [ 74, 261, 516, 277 ], "type": "text", "content": "[3] WARD TM, MASCAGNI P, BAN Y, et al. Computer vision in surgery[J]. Surgery, 2021,", "score": 1.0 } ] }, { "bbox": [ 74, 275, 168, 290 ], "spans": [ { "bbox": [ 74, 275, 168, 290 ], "type": "text", "content": "169(5): 1253-1256.", "score": 1.0 } ] } ] }, { "bbox": [ 75, 290, 514, 315 ], "type": "ref_text", "angle": 0, "index": 4, "lines": [ { "bbox": [ 76, 290, 514, 302 ], "spans": [ { "bbox": [ 76, 290, 514, 302 ], "type": "text", "content": "[4] 司徒升, 李玉巧, 方万强, 等. 基层医院外科医生腔镜技术培训方式的探索[J]. 微创医学,", "score": 1.0 } ] }, { "bbox": [ 74, 303, 175, 317 ], "spans": [ { "bbox": [ 74, 303, 175, 317 ], "type": "text", "content": "2011, 6(01): 78-79.", "score": 1.0 } ] } ] }, { "bbox": [ 76, 318, 519, 343 ], "type": "ref_text", "angle": 0, "index": 5, "lines": [ { "bbox": [ 74, 315, 521, 334 ], "spans": [ { "bbox": [ 74, 315, 521, 334 ], "type": "text", "content": "[5] ZHOU M, TSE S, DEREVIANKO A, et al. Effect of haptic feedback in laparoscopic surgery", "score": 1.0 } ] }, { "bbox": [ 74, 331, 379, 345 ], "spans": [ { "bbox": [ 74, 331, 379, 345 ], "type": "text", "content": "skill acquisition[J]. Surg Endosc, 2012, 26(4): 1128-1134.", "score": 1.0 } ] } ] }, { "bbox": [ 74, 345, 519, 384 ], "type": "ref_text", "angle": 0, "index": 6, "lines": [ { "bbox": [ 74, 344, 520, 358 ], "spans": [ { "bbox": [ 74, 344, 520, 358 ], "type": "text", "content": "[6] BALVARDI S, KAMMILI A, HANSON M, et al. The association between video-based assessment", "score": 1.0 } ] }, { "bbox": [ 73, 357, 518, 372 ], "spans": [ { "bbox": [ 73, 357, 518, 372 ], "type": "text", "content": "of intraoperative technical performance and patient outcomes: a systematic review[J].", "score": 1.0 } ] }, { "bbox": [ 74, 372, 268, 385 ], "spans": [ { "bbox": [ 74, 372, 268, 385 ], "type": "text", "content": "Surg Endosc, 2022, 36(11): 7938-7948.", "score": 1.0 } ] } ] }, { "bbox": [ 74, 385, 519, 425 ], "type": "ref_text", "angle": 0, "index": 7, "lines": [ { "bbox": [ 74, 384, 520, 399 ], "spans": [ { "bbox": [ 74, 384, 520, 399 ], "type": "text", "content": "[7] PREVOST GA, EIGL B, PAOLUCCI I, et al. Efficiency, Accuracy and Clinical Applicability", "score": 1.0 } ] }, { "bbox": [ 74, 399, 520, 413 ], "spans": [ { "bbox": [ 74, 399, 520, 413 ], "type": "text", "content": "of a New Image-Guided Surgery System in 3D Laparoscopic Liver Surgery[J]. J Gastrointest", "score": 1.0 } ] }, { "bbox": [ 73, 412, 232, 426 ], "spans": [ { "bbox": [ 73, 412, 232, 426 ], "type": "text", "content": "Surg, 2020, 24(10): 2251-2258.", "score": 1.0 } ] } ] }, { "bbox": [ 75, 426, 519, 452 ], "type": "ref_text", "angle": 0, "index": 8, "lines": [ { "bbox": [ 74, 424, 520, 442 ], "spans": [ { "bbox": [ 74, 424, 520, 442 ], "type": "text", "content": "[8] HOU JX, DENG Z, LIU YY, et al. A Bibliometric Analysis of the Role of 3D Technology", "score": 1.0 } ] }, { "bbox": [ 74, 439, 427, 454 ], "spans": [ { "bbox": [ 74, 439, 427, 454 ], "type": "text", "content": "in Liver Cancer Resection[J]. World J Surg, 2023, 47(6): 1548-1561.", "score": 1.0 } ] } ] }, { "bbox": [ 74, 453, 519, 493 ], "type": "ref_text", "angle": 0, "index": 9, "lines": [ { "bbox": [ 74, 452, 520, 468 ], "spans": [ { "bbox": [ 74, 452, 520, 468 ], "type": "text", "content": "[9] ABU HILAL M, ALDRIGHETTI L, DAGHER I, et al. The Southampton Consensus Guidelines", "score": 1.0 } ] }, { "bbox": [ 74, 467, 518, 481 ], "spans": [ { "bbox": [ 74, 467, 518, 481 ], "type": "text", "content": "for Laparoscopic Liver Surgery: From Indication to Implementation[J]. Ann Surg, 2018,", "score": 1.0 } ] }, { "bbox": [ 73, 479, 149, 495 ], "spans": [ { "bbox": [ 73, 479, 149, 495 ], "type": "text", "content": "268(1): 11-18.", "score": 1.0 } ] } ] }, { "bbox": [ 74, 495, 519, 535 ], "type": "ref_text", "angle": 0, "index": 10, "lines": [ { "bbox": [ 74, 494, 521, 508 ], "spans": [ { "bbox": [ 74, 494, 521, 508 ], "type": "text", "content": "[10] TAO H, FANG C, YANG J. 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"type": "text", "content": "行跟踪和分割。Yun-Track在交互模式下使用 SAM来提取关键帧,作为参考来实现高效的多目标", "score": 1.0 } ] }, { "bbox": [ 74, 454, 492, 468 ], "spans": [ { "bbox": [ 74, 454, 492, 468 ], "type": "text", "content": "跟踪模式。此外,为了增强系统的语言理解能力,研究团队将 Grounding-DINO 模块集成到", "score": 1.0 } ] }, { "bbox": [ 74, 469, 514, 481 ], "spans": [ { "bbox": [ 74, 469, 514, 481 ], "type": "text", "content": "Yun-Track 中,这允许系统通过自然语言处理和手动选择等多种交互方式来跟踪和分割医学影像", "score": 1.0 } ] }, { "bbox": [ 75, 482, 518, 495 ], "spans": [ { "bbox": [ 75, 482, 518, 495 ], "type": "text", "content": "中的目标,提高了分割任务的准确性和用户交互的灵活性。这一方法将显著提升医学影像分割领", "score": 1.0 } ] }, { "bbox": [ 74, 496, 376, 508 ], "spans": [ { "bbox": [ 74, 496, 376, 508 ], "type": "text", "content": "域的效率和精确度,为医疗诊断和治疗提供更为强大的技术支持。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 112, 512, 474, 695 ], "blocks": [ { "bbox": [ 112, 512, 474, 695 ], "lines": [ { "bbox": [ 112, 512, 474, 695 ], "spans": [ { "bbox": [ 112, 512, 474, 695 ], "type": "image", "image_path": "03524586e88f8128359c74b90711c84b792b0f581681b713fea27653c368ae05.jpg" } ] } ], "index": 4, "angle": 0, "type": "image_body" }, { "bbox": [ 198, 702, 394, 714 ], "lines": [ { "bbox": [ 199, 701, 393, 715 ], "spans": [ { "bbox": [ 199, 701, 393, 715 ], "type": "text", "content": "图 3 基于大模型交互式分割算法底层框架", "score": 1.0 } ] } ], "index": 5, "angle": 0, "type": "image_caption" } ], "index": 4 }, { "bbox": [ 71, 715, 520, 756 ], "type": "text", "angle": 0, "index": 6, "lines": [ { "bbox": [ 96, 715, 515, 728 ], "spans": [ { "bbox": [ 96, 715, 515, 728 ], "type": "text", "content": "Yun-Track 具有精准的跟踪和分割能力,并具有两种用户友好的跟踪模式,以适应不同分割", "score": 1.0 } ] }, { "bbox": [ 75, 730, 518, 741 ], "spans": [ { "bbox": [ 75, 730, 518, 741 ], "type": "text", "content": "场景下的不同需求。对于交互模式,Yun-Track可以使用多模式交互方法(如点击、绘制和文本输", "score": 1.0 } ] }, { "bbox": [ 74, 742, 518, 756 ], "spans": [ { "bbox": [ 74, 742, 518, 756 ], "type": "text", "content": "入)跟踪和分割连续医学影像中的肿瘤或血管等组织结构。这些交互方法为用户在医疗影像的第一", "score": 1.0 } ] } ] } ], "discarded_blocks": [ { "bbox": [ 293, 796, 299, 804 ], "type": "page_number", "angle": 0, "index": 7, "lines": [ { "bbox": [ 293, 796, 300, 806 ], "spans": [ { "bbox": [ 293, 796, 300, 806 ], "type": "text", "content": "8", "score": 1.0 } ] } ] } ], "page_size": [ 595, 842 ], "page_idx": 8 }, { "para_blocks": [ { "bbox": [ 71, 72, 518, 126 ], "type": "text", "angle": 0, "index": 0, "lines": [ { "bbox": [ 74, 73, 517, 85 ], "spans": [ { "bbox": [ 74, 73, 517, 85 ], "type": "text", "content": "帧中选择感兴趣的对象提供了灵活的选择。然而,自动模式允许 Yun-Track 跟踪连续医疗影像中", "score": 1.0 } ] }, { "bbox": [ 75, 86, 517, 98 ], "spans": [ { "bbox": [ 75, 86, 517, 98 ], "type": "text", "content": "出现的任何新对象,这一特性使 Yun-Track 也可以应用于医学影像全自动语义分割。结合临床实", "score": 1.0 } ] }, { "bbox": [ 74, 99, 517, 111 ], "spans": [ { "bbox": [ 74, 99, 517, 111 ], "type": "text", "content": "际使用需求,提出一种基于大模型的可交互式医疗影像语义分割系统,为术前精准个性化的手术", "score": 1.0 } ] }, { "bbox": [ 74, 113, 177, 126 ], "spans": [ { "bbox": [ 74, 113, 177, 126 ], "type": 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"型,这不仅为医生提供了更加逼真的组织和器官视图,也显著提高了临床诊断和治疗规划的准确", "score": 1.0 } ] }, { "bbox": [ 74, 194, 109, 208 ], "spans": [ { "bbox": [ 74, 194, 109, 208 ], "type": "text", "content": "性。", "score": 1.0 } ] } ] }, { "bbox": [ 71, 208, 520, 343 ], "type": "text", "angle": 0, "index": 3, "lines": [ { "bbox": [ 95, 207, 512, 221 ], "spans": [ { "bbox": [ 95, 207, 365, 221 ], "type": "text", "content": "本研究采用了比利时 Materialise 公司开发的 Mimics 软件—", "score": 1.0 }, { "bbox": [ 393, 208, 512, 221 ], "type": "text", "content": "种交互式医学影像处理系", "score": 1.0 } ] }, { "bbox": [ 74, 222, 518, 235 ], "spans": [ { "bbox": [ 74, 222, 518, 235 ], "type": "text", "content": "统。如图 4 所示,Mimics 由多个功能模块组成,这些模块涵盖了广泛的图像处理功能,可根据用", "score": 1.0 } ] }, { "bbox": [ 75, 236, 517, 248 ], "spans": [ { "bbox": [ 75, 236, 517, 248 ], "type": "text", "content": "户需求灵活配置,以适应各种临床应用场景。Mimics 专门针对灰度值图像提供了先进的分割模块,", "score": 1.0 } ] }, { "bbox": [ 74, 249, 518, 263 ], "spans": [ { "bbox": [ 74, 249, 518, 263 ], "type": "text", "content": 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366, 344 ], "type": "text", "content": "术计划和模拟研究,从而推动医疗实践向精准化和个性化发展。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 95, 344, 499, 546 ], "blocks": [ { "bbox": [ 95, 344, 499, 546 ], "lines": [ { "bbox": [ 95, 344, 499, 546 ], "spans": [ { "bbox": [ 95, 344, 499, 546 ], "type": "image", "image_path": "23588a71e16c7ced341b0973ef1f2b19d080411e0d822697a20e11ab9e0a2717.jpg" } ] } ], "index": 4, "angle": 0, "type": "image_body" }, { "bbox": [ 244, 547, 348, 559 ], "lines": [ { "bbox": [ 246, 547, 348, 559 ], "spans": [ { "bbox": [ 246, 547, 348, 559 ], "type": "text", "content": "图 4 Mimics 软件界面", "score": 1.0 } ] } ], "index": 5, "angle": 0, "type": "image_caption" } ], "index": 4 }, { "bbox": [ 71, 560, 520, 736 ], "type": "text", "angle": 0, "index": 6, "lines": [ { "bbox": [ 96, 560, 518, 572 ], "spans": [ { "bbox": [ 96, 560, 518, 572 ], "type": "text", "content": "在医学影像处理中,使用 Mimics软件进行三维重建是一个相对直接和用户友好的过程,尤其", "score": 1.0 } ] }, { "bbox": [ 74, 573, 520, 586 ], "spans": [ { "bbox": [ 74, 573, 520, 586 ], "type": "text", "content": "是当 CT数据中已经通过分割隔离出特定的肝脏或肿瘤组织时。重建开始于生成掩模(mask),这", "score": 1.0 } ] }, { "bbox": [ 75, 588, 518, 599 ], "spans": [ { "bbox": [ 75, 588, 518, 599 ], "type": "text", "content": "一步在软件的主界面通过右键点击并选择‘CreateMask’来实现。接下来,用户可以根据设定的", "score": 1.0 } ] }, { "bbox": [ 74, 601, 515, 614 ], "spans": [ { "bbox": [ 74, 601, 515, 614 ], "type": "text", "content": "HU 值区间自定义掩模,确保体素间连通性,这通常涉及选择‘Fill Holes’和‘Keep Largest’", "score": 1.0 } ] }, { "bbox": [ 74, 614, 517, 626 ], "spans": [ { "bbox": [ 74, 614, 517, 626 ], "type": "text", "content": "选项以生成连贯的体素集。随后,用户应选择所生成的掩模,右键点击并选择‘Calculate 3D’,", "score": 1.0 } ] }, { "bbox": [ 75, 628, 518, 640 ], "spans": [ { "bbox": [ 75, 628, 518, 640 ], "type": "text", "content": "同时设置质量参数为‘High’以确保模型精度。如果系统提示将生成多个分离的模型,可以通过", "score": 1.0 } ] }, { "bbox": [ 75, 643, 518, 654 ], "spans": [ { "bbox": [ 75, 643, 518, 654 ], "type": "text", "content": "使用‘Region Growing’工具并选取‘Multiple Layers’以及一种连接方式,以保证掩模的全连", "score": 1.0 } ] }, { "bbox": [ 74, 655, 517, 668 ], "spans": [ { "bbox": [ 74, 655, 517, 668 ], "type": "text", "content": "通性。此后,对这一全连通的掩模进行三维模型计算,生成高质量的模型。为了进一步优化模型,", "score": 1.0 } ] }, { "bbox": [ 76, 670, 517, 681 ], "spans": [ { "bbox": [ 76, 670, 517, 681 ], "type": "text", "content": "可选择进行后处理步骤,包括表面光滑处理以及自交检测。这些步骤主要旨在提升三维表面模型", "score": 1.0 } ] }, { "bbox": [ 75, 683, 517, 695 ], "spans": [ { "bbox": [ 75, 683, 517, 695 ], "type": "text", "content": "的质量,同时简化网格数量,以减少计算资源消耗和减少模型几何误差。通过一系列操作,可以", "score": 1.0 } ] }, { "bbox": [ 74, 696, 518, 709 ], "spans": [ { "bbox": [ 74, 696, 518, 709 ], "type": "text", "content": "在 3D 视图中观察到所生成的三维表面模型。最后,通过选择相应的 3D对象并使用 STL+功能保存,", "score": 1.0 } ] }, { "bbox": [ 74, 711, 517, 722 ], "spans": [ { "bbox": [ 74, 711, 517, 722 ], "type": "text", "content": "就完成了整个三维重建过程。例如,对于肝脏组织,如图 5 所示,能够得到一个精确的、重建后", "score": 1.0 } ] }, { "bbox": [ 74, 723, 486, 736 ], "spans": [ { "bbox": [ 74, 723, 486, 736 ], "type": "text", "content": "的 CT 三维模型,为后续的诊断、手术规划和术中导航提供了宝贵的三维模型和数据支持。", "score": 1.0 } ] } ] } ], "discarded_blocks": [ { "bbox": [ 293, 796, 301, 804 ], "type": "page_number", "angle": 0, "index": 7, "lines": [ { "bbox": [ 293, 796, 301, 807 ], "spans": [ { "bbox": [ 293, 796, 301, 807 ], "type": "text", "content": "9", "score": 1.0 } ] } ] } ], "page_size": [ 595, 842 ], "page_idx": 9 }, { "para_blocks": [ { "type": "image", "bbox": [ 204, 71, 390, 227 ], "blocks": [ { "bbox": [ 204, 71, 390, 227 ], "lines": [ { "bbox": [ 204, 71, 390, 227 ], "spans": [ { "bbox": [ 204, 71, 390, 227 ], "type": "image", "image_path": "bdd0f50e1277060ede5c0d086697e33767900d28f8a72e29533884872aebf49d.jpg" } ] } ], "index": 0, "angle": 0, "type": "image_body" }, { "bbox": [ 221, 228, 370, 239 ], "lines": [ { "bbox": [ 224, 228, 370, 240 ], "spans": [ { "bbox": [ 224, 228, 370, 240 ], "type": "text", "content": "图 5 重建后肝脏部 CT三维模型", "score": 1.0 } ] } ], "index": 1, "angle": 0, "type": "image_caption" } ], "index": 0 }, { "bbox": [ 94, 241, 329, 254 ], "type": "title", "angle": 0, "index": 2, "lines": [ { "bbox": [ 95, 242, 328, 255 ], "spans": [ { "bbox": [ 95, 242, 328, 255 ], "type": "text", "content": "2.术中微创手术影像关键组织解剖标记物识别系统", "score": 1.0 } ] } ] }, { "bbox": [ 71, 255, 518, 431 ], "type": "text", "angle": 0, "index": 3, "lines": [ { "bbox": [ 96, 255, 510, 266 ], "spans": [ { "bbox": [ 96, 255, 510, 266 ], "type": "text", "content": "在微创手术的过程中,精确地将术前三维重建影像与术中二维影像进行融合是至关重要的,", "score": 1.0 } ] }, { "bbox": [ 75, 270, 517, 281 ], "spans": [ { "bbox": [ 75, 270, 517, 281 ], "type": "text", "content": "这一过程对于手术规划和导航具有决定性作用。为了实现这一目标,必须对微创手术过程中的二", "score": 1.0 } ] }, { "bbox": [ 74, 282, 517, 294 ], "spans": [ { "bbox": [ 74, 282, 517, 294 ], "type": "text", "content": "维影像进行高效的识别工作,从而准确地辨识出关键的解剖结构、脏器组织以及重要的解剖标记", "score": 1.0 } ] }, { "bbox": [ 75, 297, 517, 308 ], "spans": [ { "bbox": [ 75, 297, 517, 308 ], "type": "text", "content": "物。这些关键解剖标记物将作为参照点,不仅指导软组织的柔性生物力学仿真形变,也是后续进", "score": 1.0 } ] }, { "bbox": [ 75, 310, 517, 322 ], "spans": [ { "bbox": [ 75, 310, 517, 322 ], "type": "text", "content": "行多模态影像配准的基础。鉴于该过程需要实时识别解剖标志物,本研究依靠自主采集的跨多个", "score": 1.0 } ] }, { "bbox": [ 74, 323, 515, 336 ], "spans": [ { "bbox": [ 74, 323, 515, 336 ], "type": "text", "content": "中心的术中数据,采用了 Transformer 架构作为基础框架。Transformer在自然语言处理领域已", "score": 1.0 } ] }, { "bbox": [ 75, 337, 517, 349 ], "spans": [ { "bbox": [ 75, 337, 517, 349 ], "type": "text", "content": "经证明了其出色的序列到序列的转换能力,而本研究将这一架构适配于医学影像领域,以应对微", "score": 1.0 } ] }, { "bbox": [ 75, 351, 515, 363 ], "spans": [ { "bbox": [ 75, 351, 515, 363 ], "type": "text", "content": "创手术中影像实时分析的挑战。通过深度学习和大数据分析,Transformer能够从复杂的术中影", "score": 1.0 } ] }, { "bbox": [ 75, 365, 517, 377 ], "spans": [ { "bbox": [ 75, 365, 517, 377 ], "type": "text", "content": "像数据中,实时提取和学习重要解剖标记物的特征,并实现对这些标记物的精确识别和定位。此", "score": 1.0 } ] }, { "bbox": [ 75, 378, 517, 389 ], "spans": [ { "bbox": [ 75, 378, 517, 389 ], "type": "text", "content": "外,本研究进一步开发了相关算法,以增强系统在动态手术环境下的鲁棒性和准确性。这些算法", "score": 1.0 } ] }, { "bbox": [ 76, 392, 517, 404 ], "spans": [ { "bbox": [ 76, 392, 517, 404 ], "type": "text", "content": "能够处理和分析术中影像的变化,识别出由于手术操作而产生的组织形变,从而为术中决策提供", "score": 1.0 } ] }, { "bbox": [ 75, 406, 516, 417 ], "spans": [ { "bbox": [ 75, 406, 516, 417 ], "type": "text", "content": "及时的信息支持。这种术中微创手术影像关键组织解剖标记物识别系统的开发,为提高手术安全", "score": 1.0 } ] }, { "bbox": [ 75, 420, 345, 431 ], "spans": [ { "bbox": [ 75, 420, 345, 431 ], "type": "text", "content": "性和成功率,以及降低手术风险提供了一个强有力的工具。", "score": 1.0 } ] } ] }, { "bbox": [ 71, 431, 520, 595 ], "type": "text", "angle": 0, "index": 4, "lines": [ { "bbox": [ 95, 431, 518, 445 ], "spans": [ { "bbox": [ 95, 431, 518, 445 ], "type": "text", "content": "本研究借助基于 Transformer 的大规模预训练模型,针对微创手术场景中关键解剖结构的分", "score": 1.0 } ] }, { "bbox": [ 75, 447, 517, 458 ], "spans": [ { "bbox": [ 75, 447, 517, 458 ], "type": "text", "content": "析和应用问题提出了新的解决方案。正如图 6 所示,研究设计了一个适用于肝胆胰、胃肠等微创", "score": 1.0 } ] }, { 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"求。此外,本系统采用了一种全新的基于自注意力机制的图像分类策略,具体来说,是使用了Vision", "score": 1.0 } ] }, { "bbox": [ 74, 541, 520, 554 ], "spans": [ { "bbox": [ 74, 541, 520, 554 ], "type": "text", "content": "Transformer(ViT)模型来替代传统的卷积操作,同时将其与卷积神经网络(CNN)相融合。这种", "score": 1.0 } ] }, { "bbox": [ 74, 554, 517, 567 ], "spans": [ { "bbox": [ 74, 554, 517, 567 ], "type": "text", "content": "基于 Transformer的结构为术中影像数据集的训练带来了创新,充分利用了大模型的潜力,极大", "score": 1.0 } ] }, { "bbox": [ 74, 569, 517, 581 ], "spans": [ { "bbox": [ 74, 569, 517, 581 ], "type": "text", "content": "地提升了图像分类和解剖结构识别的性能,为微创手术中的实时、准确诊断和决策支持提供了强", "score": 1.0 } ] }, { "bbox": [ 74, 580, 156, 596 ], "spans": [ { "bbox": [ 74, 580, 156, 596 ], "type": "text", "content": "大的技术支撑。。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 151, 600, 351, 746 ], "blocks": [ { "bbox": [ 151, 600, 351, 746 ], "lines": [ { "bbox": [ 151, 600, 351, 746 ], "spans": [ { "bbox": [ 151, 600, 351, 746 ], "type": "image", "image_path": 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235 ], "type": "text", "content": "使模型能够同时关注输入数据的不同方面。如图 8 所示,由于注意力在各个子空间中的分布各异,", "score": 1.0 } ] }, { "bbox": [ 76, 236, 517, 248 ], "spans": [ { "bbox": [ 76, 236, 517, 248 ], "type": "text", "content": "多头注意力机制实际上可以捕获输入数据之间多维度的关系,编码多样的关联性和微小差异。这", "score": 1.0 } ] }, { "bbox": [ 76, 250, 513, 261 ], "spans": [ { "bbox": [ 76, 250, 513, 261 ], "type": "text", "content": "些计算并行执行后,最终将所有子空间中的注意力信息合并在一起,根据下述公式完成计算::", "score": 1.0 } ] } ] }, { "bbox": [ 143, 262, 449, 295 ], "type": "interline_equation", "angle": 0, "lines": [ { "bbox": [ 143, 262, 449, 295 ], "spans": [ { "bbox": [ 143, 262, 449, 295 ], "type": "interline_equation", "content": "\\left\\{ \\begin{array}{c} M u l t i H e a d (Q, K, V) = C o n c a t (h e a d _ {1}, h e a d _ {2},..., h e a d _ {h}) W ^ {\\sigma} \\\\ h e a d _ {i} = A t t e n t i o n (Q W _ {i} ^ {Q}, K W _ {i} ^ {K}, V W _ {i} ^ {V}) \\end{array} \\right.", "image_path": "7403e5fbba85b3884788bb90948082fd82d801aeed61332ffb84858b0fdf90c2.jpg" } ] } ], 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分割(IoU+_STD%)
胆囊: 88.5±0.9囊状管: 78.5±1.6囊性动脉: 83.1±6.3
背景: 95.7±0.4囊性板块: 75.5±5.7手术用具: 90.2±1.2
解剖的肝囊肿三角区: 58.6±4.0
", "image_path": "76f072d558575c4941d457731ddbdfd89a1f4159aaf7061c31ce4e1cc7a340ee.jpg" } ] } ], "index": 5, "angle": 0, "type": "table_body" } ], "index": 5 }, { "type": "table", "bbox": [ 92, 306, 500, 373 ], "blocks": [ { "bbox": [ 258, 293, 334, 304 ], "lines": [ { "bbox": [ 258, 293, 334, 306 ], "spans": [ { "bbox": [ 258, 293, 334, 306 ], "type": "text", "content": "CVS标准的预测", "score": 0.998 } ] } ], "index": 6, "angle": 0, "type": "table_caption" }, { "bbox": [ 92, 306, 500, 373 ], "lines": [ { "bbox": [ 92, 306, 500, 373 ], "spans": [ { "bbox": [ 92, 306, 500, 373 ], "type": "table", "html": "
AP+STD%bACC(敏域度%)
两个结构(CI)92.1±2.975.9 ±3.1
肝囊肿三角区(C2)89.7±9.188.5±2.6
囊状板(C3)74.1±10.875.8 ±4.5
", "image_path": "177e6f32fa0d3e706ecee15b606f349158b3ec50c6d538f0fb67cdb2b7e586e1.jpg" } ] } ], "index": 7, "angle": 0, "type": "table_body" } ], "index": 7 }, { "bbox": [ 71, 376, 520, 511 ], "type": "text", "angle": 0, "index": 8, "lines": [ { "bbox": [ 96, 377, 517, 388 ], "spans": [ { "bbox": [ 96, 377, 517, 388 ], "type": "text", "content": "在对手术影像进行精细分割的基础上,进一步进行边缘识别处理对于揭示肝脏影像的关键解", "score": 1.0 } ] }, { "bbox": [ 74, 389, 517, 402 ], "spans": [ { "bbox": [ 74, 389, 517, 402 ], "type": "text", "content": "剖标记物至关重要。在本研究中,已经明确辨认出肝脏影像中的三个关键区域。首先是连结到异", "score": 1.0 } ] }, { "bbox": [ 75, 405, 517, 415 ], "spans": [ { "bbox": [ 75, 405, 517, 415 ], "type": "text", "content": "常壁的韧带,这通常是在手术初期被切断的部分,肝脏表面的疤痕通常位于此区域,将肝脏分割", "score": 1.0 } ] }, { "bbox": [ 75, 418, 517, 429 ], "spans": [ { "bbox": [ 75, 418, 517, 429 ], "type": "text", "content": "成两个主要的叶。这个标志物可以通过手工标记、深度学习算法识别,或者在 CT 影像中进行标注,", "score": 1.0 } ] }, { "bbox": [ 75, 431, 517, 443 ], "spans": [ { "bbox": [ 75, 431, 517, 443 ], "type": "text", "content": "其显著的可见性使其成为一个极佳的参考点。其次是肝脏的下方区域,即肝脏弯曲度较高的部分,", "score": 1.0 } ] }, { "bbox": [ 75, 444, 518, 456 ], "spans": [ { "bbox": [ 75, 444, 518, 456 ], "type": "text", "content": "这里可以明确标注图像的底部及其边缘。在 CT影像中,这个区域通常被划分为两部分,可以建立", "score": 1.0 } ] }, { "bbox": [ 75, 459, 518, 470 ], "spans": [ { "bbox": [ 75, 459, 518, 470 ], "type": "text", "content": "两个不同的标记进行约束。正如图 11所示,在胆囊切除手术的术中影像分割中,能够准确识别并", "score": 1.0 } ] }, { "bbox": [ 74, 473, 518, 484 ], "spans": [ { "bbox": [ 74, 473, 518, 484 ], "type": "text", "content": "标注出胆囊组织的上下边缘,如图 12所示。这不仅精确地描绘了手术区域,而且,这一过程极大", "score": 1.0 } ] }, { "bbox": [ 75, 486, 517, 497 ], "spans": [ { "bbox": [ 75, 486, 517, 497 ], "type": "text", "content": "地提高了接下来的生物力学配准的精度与有效性,为和进一步磁辅助下三维融合可视化手术导航", "score": 1.0 } ] }, { "bbox": [ 75, 500, 166, 511 ], "spans": [ { "bbox": [ 75, 500, 166, 511 ], "type": "text", "content": "奠定了坚实的基础。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 74, 511, 292, 634 ], "blocks": [ { "bbox": [ 74, 511, 292, 634 ], "lines": [ { "bbox": [ 74, 511, 292, 634 ], "spans": [ { "bbox": [ 74, 511, 292, 634 ], "type": "image", "image_path": "87cd18d47da93eef9f974e846498ac7a36098ff4beebafebe4c2bec86878384e.jpg" } ] } ], "index": 9, "angle": 0, "type": "image_body" }, { "bbox": [ 110, 634, 268, 646 ], "lines": [ { "bbox": [ 113, 635, 268, 646 ], "spans": [ { "bbox": [ 113, 635, 268, 646 ], "type": "text", "content": "图 11 胆囊切除术术中原始原影像", "score": 1.0 } ] } ], "index": 10, "angle": 0, "type": "image_caption" } ], "index": 9 }, { "type": "image", "bbox": [ 296, 511, 515, 634 ], "blocks": [ { "bbox": [ 296, 511, 515, 634 ], "lines": [ { "bbox": [ 296, 511, 515, 634 ], "spans": [ { "bbox": [ 296, 511, 515, 634 ], "type": "image", "image_path": "64965a2d14a4fbf981acbaa44f205cf81dba0501b4ae14490c792a19a0cc91e7.jpg" } ] } ], "index": 11, "angle": 0, "type": "image_body" }, { "bbox": [ 323, 634, 480, 646 ], "lines": [ { "bbox": [ 325, 634, 481, 647 ], "spans": [ { "bbox": [ 325, 634, 481, 647 ], "type": "text", "content": "图 12 胆囊组织上下边缘自动识别", "score": 1.0 } ] } ], "index": 12, "angle": 0, "type": "image_caption" } ], "index": 11 }, { "bbox": [ 94, 648, 234, 660 ], "type": "title", "angle": 0, "index": 13, "lines": [ { "bbox": [ 95, 648, 234, 660 ], "spans": [ { "bbox": [ 95, 648, 234, 660 ], "type": "text", "content": "3.磁定位辅助内窥镜跟踪系统", "score": 1.0 } ] } ] }, { "bbox": [ 71, 661, 520, 756 ], "type": "text", "angle": 0, "index": 14, "lines": [ { "bbox": [ 96, 662, 518, 674 ], "spans": [ { "bbox": [ 96, 662, 518, 674 ], "type": "text", "content": "为了实现术中组织的自动配准,至关重要的一步是准确地确定内窥镜的位置和方位。这可以", "score": 1.0 } ] }, { "bbox": [ 74, 676, 517, 687 ], "spans": [ { "bbox": [ 74, 676, 517, 687 ], "type": "text", "content": "通过对腹腔镜视频中的内窥镜及其视野内待配准组织的位置和方位进行跟踪来实现。通过分析腹", "score": 1.0 } ] }, { "bbox": [ 76, 690, 517, 701 ], "spans": [ { "bbox": [ 76, 690, 517, 701 ], "type": "text", "content": "腔镜的位置和腔镜视频中观察到的组织位置之间的关系,能够进一步确定术前三维组织模型在实", "score": 1.0 } ] }, { "bbox": [ 75, 703, 517, 715 ], "spans": [ { "bbox": [ 75, 703, 517, 715 ], "type": "text", "content": "际手术过程中的正确配准,包括必要的旋转角度和空间位置的相对变化。为此,本研究采用定位", "score": 1.0 } ] }, { "bbox": [ 76, 717, 517, 728 ], "spans": [ { "bbox": [ 76, 717, 517, 728 ], "type": "text", "content": "系统来辅助跟踪内窥镜的精确位置。定位系统通过发射和接收特定的磁信号来确定内窥镜的三维", "score": 1.0 } ] }, { "bbox": [ 75, 730, 518, 742 ], "spans": [ { "bbox": [ 75, 730, 518, 742 ], "type": "text", "content": "位置和方位。此外,将此信息与预先建立的三维组织模型相结合,可实现对组织模型的实时空间", "score": 1.0 } ] }, { "bbox": [ 75, 744, 517, 756 ], "spans": [ { "bbox": [ 75, 744, 517, 756 ], "type": "text", "content": "调整,以匹配术中观察到的实际情况。这种技术不仅提高了微创手术中关键组织结构识别的精度,", "score": 1.0 } ] } ] } ], "discarded_blocks": [ { "bbox": [ 292, 796, 302, 804 ], "type": "page_number", "angle": 0, "index": 15, "lines": [] } ], "page_size": [ 595, 842 ], "page_idx": 12 }, { "para_blocks": [ { "bbox": [ 72, 72, 518, 126 ], "type": "text", "angle": 0, "index": 0, "lines": [ { "bbox": [ 74, 73, 518, 85 ], "spans": [ { "bbox": [ 74, 73, 518, 85 ], "type": "text", "content": "而且为手术团队提供了实时、动态的导航信息,优化了多模态融合微创手术组织的自动配准过程。", "score": 1.0 } ] }, { "bbox": [ 75, 86, 517, 98 ], "spans": [ { "bbox": [ 75, 86, 517, 98 ], "type": "text", "content": "在术中,该系统能够实时更新内窥镜的位置和方位信息,确保手术过程中的动态调整与术前模型", "score": 1.0 } ] }, { "bbox": [ 76, 101, 517, 111 ], "spans": [ { "bbox": [ 76, 101, 517, 111 ], "type": "text", "content": "的高度一致性。最终,这一磁定位辅助内窥镜跟踪系统将极大地促进精准手术的实施,为医生提", "score": 1.0 } ] }, { "bbox": [ 75, 113, 438, 126 ], "spans": [ { "bbox": [ 75, 113, 438, 126 ], "type": "text", "content": "供有效的器械位置参考信息,同时也是微创手术多模融合自动配准的必要前提。", "score": 1.0 } ] } ] }, { "bbox": [ 99, 127, 271, 139 ], "type": "title", "angle": 0, "index": 1, "lines": [ { "bbox": [ 101, 127, 270, 139 ], "spans": [ { "bbox": [ 101, 127, 270, 139 ], "type": "text", "content": "(1)磁定位辅助内窥镜跟踪设备设计", "score": 1.0 } ] } ] }, { "bbox": [ 72, 140, 520, 289 ], "type": "text", "angle": 0, "index": 2, "lines": [ { "bbox": [ 96, 140, 512, 153 ], "spans": [ { "bbox": [ 96, 140, 512, 153 ], "type": "text", "content": "在当前医学实践中,常用的器械空间定位技术依赖于 3D 光学追踪系统。如图 13 所展示的,", "score": 1.0 } ] }, { "bbox": [ 75, 154, 519, 165 ], "spans": [ { "bbox": [ 75, 154, 519, 165 ], "type": "text", "content": "这一系统通常涉及对现有腹腔镜镜头连接部位进行改造,以便安装光学定位靶标装置。利用图 14", "score": 1.0 } ] }, { "bbox": [ 76, 169, 517, 179 ], "spans": [ { "bbox": [ 76, 169, 517, 179 ], "type": "text", "content": "所示的双目相机,系统能够对改造后腹腔镜下部的光学靶标进行三维追踪定位,从而精确确定腹", "score": 1.0 } ] }, { "bbox": [ 76, 182, 516, 193 ], "spans": [ { "bbox": [ 76, 182, 516, 193 ], "type": "text", "content": "腔镜镜头在三维空间中的具体位置与方向。然而,当前的光学定位腹腔镜系统需要根据不同型号", "score": 1.0 } ] }, { "bbox": [ 76, 196, 515, 207 ], "spans": [ { "bbox": [ 76, 196, 515, 207 ], "type": "text", "content": "的内镜进行 3D 光学定位装置的定制,这一过程的安装较为复杂。此外,3D 光学空间定位相机通", "score": 1.0 } ] }, { "bbox": [ 75, 210, 517, 221 ], "spans": [ { "bbox": [ 75, 210, 517, 221 ], "type": "text", "content": "常置于手术台侧方,而患者在手术台上的具体位置是变动的,这导致系统无法提供一个固定的参", "score": 1.0 } ] }, { "bbox": [ 74, 222, 517, 234 ], "spans": [ { "bbox": [ 74, 222, 517, 234 ], "type": "text", "content": "照点,从而无法获得患者真实位置与微创腹腔镜器械相对位置的准确信息。这个限制使得在手术", "score": 1.0 } ] }, { "bbox": [ 75, 236, 518, 249 ], "spans": [ { "bbox": [ 75, 236, 518, 249 ], "type": "text", "content": "过程中进行有效的实时组织配准变得极为困难。为了克服这些限制并优化手术导航的准确性,未", "score": 1.0 } ] }, { "bbox": [ 76, 250, 516, 261 ], "spans": [ { "bbox": [ 76, 250, 516, 261 ], "type": "text", "content": "来的系统设计需要考虑到操作的简便性、设备的适应性以及能够准确反映患者与器械相对位置的", "score": 1.0 } ] }, { "bbox": [ 76, 264, 517, 275 ], "spans": [ { "bbox": [ 76, 264, 517, 275 ], "type": "text", "content": "技术。这些改进将有助于实现术中实时组织配准,增强手术的精准度,减少手术风险,提高治疗", "score": 1.0 } ] }, { "bbox": [ 74, 277, 115, 290 ], "spans": [ { "bbox": [ 74, 277, 115, 290 ], "type": "text", "content": "效果。。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 83, 291, 157, 405 ], "blocks": [ { "bbox": [ 83, 291, 157, 405 ], "lines": [ { "bbox": [ 83, 291, 157, 405 ], "spans": [ { "bbox": [ 83, 291, 157, 405 ], "type": "image", "image_path": "05cdffe7f263948bf689c844385a90f147962b56bc9c32bda4e16bb08509a2fe.jpg" } ] } ], "index": 3, "angle": 0, "type": "image_body" } ], "index": 3 }, { "type": "image", "bbox": [ 168, 291, 318, 406 ], "blocks": [ { "bbox": [ 168, 291, 318, 406 ], "lines": [ { "bbox": [ 168, 291, 318, 406 ], "spans": [ { "bbox": [ 168, 291, 318, 406 ], "type": "image", "image_path": "20ae6ca0e545c4fefe44055200c655b007874e468cf84841a3b006c3bf43d742.jpg" } ] } ], "index": 4, "angle": 0, "type": "image_body" }, { "bbox": [ 124, 408, 295, 420 ], "lines": [ { "bbox": [ 124, 407, 295, 420 ], "spans": [ { "bbox": [ 124, 407, 295, 420 ], "type": "text", "content": "图 13 3D 光学定位腹腔镜配件实物图", "score": 1.0 } ] } ], "index": 5, "angle": 0, "type": "image_caption" } ], "index": 4 }, { "type": "image", "bbox": [ 338, 310, 503, 395 ], "blocks": [ { "bbox": [ 338, 310, 503, 395 ], "lines": [ { "bbox": [ 338, 310, 503, 395 ], "spans": [ { "bbox": [ 338, 310, 503, 395 ], "type": "image", "image_path": "8bec6150529c83f6bb112c45a45845adcb103b01b821ba5fd7933e55e9f78cf3.jpg" } ] } ], "index": 6, "angle": 0, "type": "image_body" }, { "bbox": [ 339, 407, 468, 420 ], "lines": [ { "bbox": [ 340, 405, 469, 421 ], "spans": [ { "bbox": [ 340, 405, 469, 421 ], "type": "text", "content": "图 14 3D 光学空间定位相机", "score": 1.0 } ] } ], "index": 7, "angle": 0, "type": "image_caption" } ], "index": 6 }, { "bbox": [ 72, 421, 520, 557 ], "type": "text", "angle": 0, "index": 8, "lines": [ { "bbox": [ 96, 421, 517, 433 ], "spans": [ { "bbox": [ 96, 421, 517, 433 ], "type": "text", "content": "当前临床实践中迫切需要一种能够便捷且定量地描述内窥镜与人体相对位置的空间定位跟踪", "score": 1.0 } ] }, { "bbox": [ 76, 436, 518, 447 ], "spans": [ { "bbox": [ 76, 436, 518, 447 ], "type": "text", "content": "装置。这种装置的目的是为了有效地揭示当前腹腔镜与手术中重要解剖结构之间的空间关系,从", "score": 1.0 } ] }, { "bbox": [ 74, 447, 519, 462 ], "spans": [ { "bbox": [ 74, 447, 519, 462 ], "type": "text", "content": "而在术中进行精确的空间配准,确认三维配准的具体位置和方向。磁定位技术,最早由 J. Kuiper", "score": 1.0 } ] }, { "bbox": [ 73, 461, 518, 474 ], "spans": [ { "bbox": [ 73, 461, 518, 474 ], "type": "text", "content": "于 20 世纪 70年代提出,主要通过利用磁场信息来获取目标的空间位置和姿态参数。这一技术具", "score": 1.0 } ] }, { "bbox": [ 74, 474, 518, 489 ], "spans": [ { "bbox": [ 74, 474, 518, 489 ], "type": "text", "content": "有众多优势,如操作简便、多维度定位、空间范围内的高精确度,已在瞄准和运动跟踪等多个领", "score": 1.0 } ] }, { "bbox": [ 75, 490, 518, 501 ], "spans": [ { "bbox": [ 75, 490, 518, 501 ], "type": "text", "content": "域得到广泛应用。在本研究构建了一个如图 15所展示的磁定位追踪辅助系统。在手术过程中,患", "score": 1.0 } ] }, { "bbox": [ 76, 504, 518, 515 ], "spans": [ { "bbox": [ 76, 504, 518, 515 ], "type": "text", "content": "者被平稳地放置在手术台上,特定位置上设有磁场发生器。同时,只需将磁定位装置安装在腹腔", "score": 1.0 } ] }, { "bbox": [ 76, 517, 517, 528 ], "spans": [ { "bbox": [ 76, 517, 517, 528 ], "type": "text", "content": "镜或其他手术器械上。以磁场发生器作为坐标原点和探测基准,这一系统具备 3 至 5 米的有效探", "score": 1.0 } ] }, { "bbox": [ 76, 531, 518, 543 ], "spans": [ { "bbox": [ 76, 531, 518, 543 ], "type": "text", "content": "测距离,定位精度可达到 0.01 厘米。通过这套磁辅助系统,可以精确地定位微创手术中腹腔镜器", "score": 1.0 } ] }, { "bbox": [ 75, 544, 396, 556 ], "spans": [ { "bbox": [ 75, 544, 396, 556 ], "type": "text", "content": "械的相对位置,从而极大地提高手术过程中的空间感知能力和精准性。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 98, 562, 494, 749 ], "blocks": [ { "bbox": [ 98, 562, 494, 749 ], "lines": [ { "bbox": [ 98, 562, 494, 749 ], "spans": [ { "bbox": [ 98, 562, 494, 749 ], "type": "image", "image_path": "bcefd0074980064759345375cfd1571feffb84407375a8e8d25cb120efe851f7.jpg" } ] } ], "index": 9, "angle": 0, "type": "image_body" }, { "bbox": [ 217, 751, 376, 763 ], "lines": [ { "bbox": [ 219, 751, 374, 763 ], "spans": [ { "bbox": [ 219, 751, 374, 763 ], "type": "text", "content": "图 15 磁定位辅助追踪系统示意图", "score": 1.0 } ] } ], "index": 10, "angle": 0, "type": "image_caption" } ], "index": 9 } ], "discarded_blocks": [ { "bbox": [ 292, 796, 302, 804 ], "type": "page_number", "angle": 0, "index": 11, "lines": [ { "bbox": [ 291, 796, 304, 808 ], "spans": [ { 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"inline_equation", "content": "C _ { i m a g e }", "score": 0.9077 }, { "bbox": [ 243, 113, 520, 127 ], "type": "text", "content": "像完成后保持不变,此时 CT 图像分割重建得到的三维模型即", "score": 1.0 } ] }, { "bbox": [ 74, 126, 518, 143 ], "spans": [ { "bbox": [ 74, 126, 316, 143 ], "type": "text", "content": "定义在该坐标系下。磁辅助定位系统的坐标系定义为", "score": 1.0 }, { "bbox": [ 316, 128, 348, 141 ], "type": "inline_equation", "content": "C _ { t r a c k e r }", "score": 0.8752 }, { "bbox": [ 348, 126, 518, 143 ], "type": "text", "content": "在整个术中配准过程中,与磁场发生", "score": 1.0 } ] }, { "bbox": [ 74, 141, 517, 154 ], "spans": [ { "bbox": [ 74, 141, 517, 154 ], "type": "text", "content": "器和患者保持固定关系,确保其坐标记录的一致性和不变性。当磁辅助器械在手术过程中移动以", "score": 1.0 } ] }, { "bbox": [ 74, 154, 520, 170 ], "spans": [ { "bbox": [ 74, 154, 211, 170 ], "type": "text", "content": "采集定位数据时,它的坐标系", "score": 1.0 }, { "bbox": [ 211, 155, 244, 169 ], "type": "inline_equation", "content": "C _ { c a m e r a }", "score": 0.9068 }, { "bbox": [ 245, 154, 380, 170 ], "type": "text", "content": "对于磁辅助定位系统的坐标系", "score": 1.0 }, { "bbox": [ 380, 156, 412, 169 ], "type": "inline_equation", "content": "C _ { t r a c k e r }", "score": 0.9114 }, { "bbox": [ 412, 154, 520, 170 ], "type": "text", "content": "发生改变。这种相对位", "score": 1.0 } ] }, { "bbox": [ 75, 169, 517, 181 ], "spans": [ { "bbox": [ 75, 169, 517, 181 ], "type": "text", "content": "置的变化通过追踪系统进行实时记录,确立磁辅助器械坐标系与手术器械的精确对应关系。利用", "score": 1.0 } ] }, { "bbox": [ 75, 182, 517, 194 ], "spans": [ { "bbox": [ 75, 182, 517, 194 ], "type": "text", "content": "这种关系,可以对术中观察到的组织进行精确的三维空间配准,与预先重建的三维模型准确对齐,", "score": 1.0 } ] }, { "bbox": [ 74, 196, 517, 208 ], "spans": [ { "bbox": [ 74, 196, 517, 208 ], "type": "text", "content": "从而在手术过程中实现实时的组织导航与定位。这种技术的应用显著提高了手术的精确度和安全", "score": 1.0 } ] }, { "bbox": [ 73, 209, 282, 223 ], "spans": [ { "bbox": [ 73, 209, 282, 223 ], "type": "text", "content": "性,为微创手术提供了关键的空间信息支持。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 136, 224, 462, 386 ], "blocks": [ { "bbox": [ 136, 224, 462, 386 ], "lines": [ { "bbox": [ 136, 224, 462, 386 ], "spans": [ { "bbox": [ 136, 224, 462, 386 ], "type": "image", "image_path": "22778879d06d7c743103965b98bf56e01dd0a88cff02da55ac223fec00fc6e3c.jpg" } ] } ], "index": 2, "angle": 0, "type": "image_body" }, { "bbox": [ 190, 386, 402, 398 ], "lines": [ { "bbox": [ 192, 387, 401, 399 ], "spans": [ { "bbox": [ 192, 387, 401, 399 ], "type": "text", "content": "图 16 磁定位辅助系统各坐标系间的空间变换", "score": 1.0 } ] } ], "index": 3, "angle": 0, "type": "image_caption" } ], "index": 2 }, { "bbox": [ 71, 399, 520, 511 ], "type": "text", "angle": 0, "index": 4, "lines": [ { "bbox": [ 95, 399, 518, 412 ], "spans": [ { "bbox": [ 95, 399, 518, 412 ], "type": "text", "content": "在图 16中展示的系统中,坐标变换关系可以通过一系列的变换矩阵来描述。这些矩阵表示了", "score": 1.0 } ] }, { "bbox": [ 76, 415, 517, 426 ], "spans": [ { "bbox": [ 76, 415, 517, 426 ], "type": "text", "content": "从一个坐标系到另一个坐标系的空间关系和位置变化。在本系统中,记通常涉及以下几种坐标变", "score": 1.0 } ] }, { "bbox": [ 70, 422, 522, 463 ], "spans": [ { "bbox": [ 70, 422, 98, 463 ], "type": "text", "content": "换为描述", "score": 1.0 }, { "bbox": [ 98, 426, 163, 443 ], "type": "inline_equation", "content": "1 . ~ T _ { i m a g e } ^ { t o o l / t r a c k e r }", "score": 0.894 }, { "bbox": [ 163, 422, 252, 463 ], "type": "text", "content": "表示从 CT图像坐标到物理空间的转换;", "score": 1.0 }, { "bbox": [ 263, 430, 290, 442 ], "type": "inline_equation", "content": "C _ { i m a g e }", "score": 0.9031 }, { "bbox": [ 311, 422, 385, 463 ], "type": "text", "content": "定位器械坐标系 表示当磁定位工", "score": 1.0 }, { "bbox": [ 386, 430, 405, 442 ], "type": "inline_equation", "content": "C _ { t o o l }", "score": 0.898 }, { "bbox": [ 416, 430, 446, 442 ], "type": "inline_equation", "content": "C _ { \\mathrm { t r a c k e r } }", "score": 0.8996 }, { "bbox": [ 446, 422, 522, 463 ], "type": "text", "content": "的变换矩阵。这时,其坐标系", "score": 1.0 } ] }, { "bbox": [ 252, 444, 311, 458 ], "spans": [ { "bbox": [ 252, 444, 311, 458 ], "type": "inline_equation", "content": "2 . 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"type": "text", "content": "的变换矩阵。当器械移动时,它实时更新以反映当前的空间关", "score": 1.0 } ] }, { "bbox": [ 74, 486, 518, 499 ], "spans": [ { "bbox": [ 74, 486, 518, 499 ], "type": "text", "content": "系。要完成术中自动组织配准,需要综合利用这些变换矩阵来确定手术器械相对于患者体内结构", "score": 1.0 } ] }, { "bbox": [ 74, 500, 260, 512 ], "spans": [ { "bbox": [ 74, 500, 260, 512 ], "type": "text", "content": "的准确位置,三者的空间变换关系如下:", "score": 1.0 } ] } ] }, { "bbox": [ 218, 513, 374, 530 ], "type": "interline_equation", "angle": 0, "lines": [ { "bbox": [ 218, 513, 374, 530 ], "spans": [ { "bbox": [ 218, 513, 374, 530 ], "type": "interline_equation", "content": "T _ {\\text {i m a g e}} ^ {\\text {t o o l / t r a c k e r}} \\cdot T _ {\\text {t o o l / t r a c k e r}} ^ {\\text {c a m e r a}} \\cdot T _ {\\text {c a m e r a}} ^ {\\text {t r a c k e r}} = I", "image_path": "1ef5217b63c29042a0d90ce663cb45033c12b1dab20ca488323a6760a57b6edf.jpg" } ] } ], "index": 5 }, { "bbox": [ 73, 530, 511, 557 ], "type": "text", "angle": 0, "index": 6, "lines": [ { 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"angle": 0, "index": 9, "lines": [ { "bbox": [ 92, 706, 434, 722 ], "spans": [ { "bbox": [ 92, 706, 434, 722 ], "type": "text", "content": "4.磁定位辅助下基于柔性生物力学仿真形变的微创手术多模融合组织配准", "score": 1.0 } ] } ] }, { "bbox": [ 71, 721, 520, 762 ], "type": "text", "angle": 0, "index": 10, "lines": [ { "bbox": [ 96, 723, 517, 733 ], "spans": [ { "bbox": [ 96, 723, 517, 733 ], "type": "text", "content": "在微创手术领域,外科医生面临的一个主要挑战是无法直接触摸和感知患者体内结构的确切", "score": 1.0 } ] }, { "bbox": [ 75, 735, 517, 747 ], "spans": [ { "bbox": [ 75, 735, 517, 747 ], "type": "text", "content": "位置。在手术室内,外科医生通过两个面向他们的内窥镜显示屏观察手术进程,同时操作腹腔镜", "score": 1.0 } ] }, { "bbox": [ 76, 750, 516, 761 ], "spans": [ { "bbox": [ 76, 750, 516, 761 ], "type": "text", "content": "等微创手术可视化仪器。尽管有助手协助操作腔镜,但由于腹腔镜的物理限制,外科医生不能直", "score": 1.0 } ] } ] } ], "discarded_blocks": [ { "bbox": [ 292, 796, 303, 805 ], "type": "page_number", "angle": 0, "index": 11, "lines": [ { "bbox": [ 290, 795, 304, 809 ], "spans": [ { "bbox": [ 290, 795, 304, 809 ], "type": 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"紧急情况时。因此,如何改进手术视野的展现和深层次解剖结构的识别,仍是微创外科需要克服", "score": 1.0 } ] }, { "bbox": [ 74, 140, 518, 154 ], "spans": [ { "bbox": [ 74, 140, 518, 154 ], "type": "text", "content": "的关键挑战。针对这一临床需求,如图 18 所示,多模融合组织配准技术的出现提供了一种解决方", "score": 1.0 } ] }, { "bbox": [ 76, 154, 517, 166 ], "spans": [ { "bbox": [ 76, 154, 517, 166 ], "type": "text", "content": "案。通过实现术中三维可视化,本技术可以辅助外科医生更准确地定位和识别体内结构,即便是", "score": 1.0 } ] }, { "bbox": [ 76, 168, 517, 180 ], "spans": [ { "bbox": [ 76, 168, 517, 180 ], "type": "text", "content": "在视觉上不直接可见的情况下。尤其是当配合磁定位技术和柔性生物力学仿真形变时,这种多模", "score": 1.0 } ] }, { "bbox": [ 75, 181, 517, 194 ], "spans": [ { "bbox": [ 75, 181, 517, 194 ], "type": "text", "content": "态融合可以提供更为精确的组织配准,从而显著提高手术精度,减少风险,增加手术成功率,为", "score": 1.0 } ] }, { "bbox": [ 74, 194, 250, 208 ], "spans": [ { "bbox": [ 74, 194, 250, 208 ], "type": "text", "content": "微创手术的发展带来创新的技术进步。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 112, 215, 480, 346 ], "blocks": [ { "bbox": [ 112, 215, 480, 346 ], 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"score": 1.0 } ] }, { "bbox": [ 76, 389, 517, 402 ], "spans": [ { "bbox": [ 76, 389, 517, 402 ], "type": "text", "content": "与术前影像扫描的结果有显著差异。这种差异对于实现术前三维影像与术中微创手术的精确配准", "score": 1.0 } ] }, { "bbox": [ 75, 403, 518, 415 ], "spans": [ { "bbox": [ 75, 403, 518, 415 ], "type": "text", "content": "提出了挑战。为了解决这一问题,必须对术前三维影像进行柔性生物力学仿真形变的研究。具体", "score": 1.0 } ] }, { "bbox": [ 75, 417, 517, 429 ], "spans": [ { "bbox": [ 75, 417, 517, 429 ], "type": "text", "content": "来说,这项研究致力于开发一种高级的仿真模型,该模型可以根据内窥镜中识别出的脏器关键解", "score": 1.0 } ] }, { "bbox": [ 76, 431, 517, 442 ], "spans": [ { "bbox": [ 76, 431, 517, 442 ], "type": "text", "content": "剖结构来模拟脏器在手术操作过程中的形变。通过这种仿真,可以对术前的三维模型进行动态调", "score": 1.0 } ] }, { "bbox": [ 74, 444, 517, 457 ], "spans": [ { "bbox": [ 74, 444, 517, 457 ], "type": "text", "content": "整,以匹配术中实际观察到的组织状态。这不仅涉及到几何形状的变化,还包括组织的生物力学", "score": 1.0 } ] }, { "bbox": [ 75, 458, 517, 469 ], "spans": [ { "bbox": [ 75, 458, 517, 469 ], "type": "text", "content": "性质在手术操作力作用下的响应,例如拉伸、压缩和扭转等。实现这种仿真需要深入理解组织力", "score": 1.0 } ] }, { "bbox": [ 74, 471, 518, 484 ], "spans": [ { "bbox": [ 74, 471, 518, 484 ], "type": "text", "content": "学行为和内窥镜图像特征之间的关系。通过集成最新的影像处理技术、磁定位系统和先进的生物", "score": 1.0 } ] }, { "bbox": [ 75, 484, 517, 497 ], "spans": [ { "bbox": [ 75, 484, 517, 497 ], "type": "text", "content": "力学模型,本研究旨在开发一套系统,该系统能够实时更新术中脏器的三维表示,为外科医生提", "score": 1.0 } ] }, { "bbox": [ 76, 499, 517, 510 ], "spans": [ { "bbox": [ 76, 499, 517, 510 ], "type": "text", "content": "供准确的导航和参考。这种基于柔性生物力学仿真的三维组织形变研究将极大提高微创手术的安", "score": 1.0 } ] }, { "bbox": [ 74, 511, 397, 524 ], "spans": [ { "bbox": [ 74, 511, 397, 524 ], "type": "text", "content": "全性和成功率,同时减少术后恢复时间,提升患者的整体治疗效果。。", "score": 1.0 } ] } ] }, { "bbox": [ 72, 525, 519, 619 ], "type": "text", "angle": 0, "index": 5, "lines": [ { "bbox": [ 96, 527, 517, 537 ], "spans": [ { "bbox": [ 96, 527, 517, 537 ], "type": "text", "content": "人体柔性组织具有显著的变形能力,其变形行为通常介于塑性和弹性变形之间,在受力后能", "score": 1.0 } ] }, { "bbox": [ 75, 539, 518, 551 ], "spans": [ { "bbox": [ 75, 539, 518, 551 ], "type": "text", "content": "在一定时间内恢复原状,但存在时间滞后。生物软组织主要由水、蛋白质、脂肪、碳水化合物和", "score": 1.0 } ] }, { "bbox": [ 76, 554, 517, 564 ], "spans": [ { "bbox": [ 76, 554, 517, 564 ], "type": "text", "content": "无机离子构成,它们在细胞中以溶解或悬浮的状态存在,并维持着相对稳定的代谢平衡。外力作", "score": 1.0 } ] }, { "bbox": [ 75, 567, 517, 579 ], "spans": [ { "bbox": [ 75, 567, 517, 579 ], "type": "text", "content": "用时,细胞和分子间的平衡会被打破,导致细胞和组织的显著形变和位移。撤去外力后,这些组", "score": 1.0 } ] }, { "bbox": [ 75, 580, 517, 592 ], "spans": [ { "bbox": [ 75, 580, 517, 592 ], "type": "text", "content": "织不能立即恢复原状,会有延迟,这是所谓的松弛效应。此外,由于组织和细胞间存在较大空隙", "score": 1.0 } ] }, { "bbox": [ 76, 595, 517, 605 ], "spans": [ { "bbox": [ 76, 595, 517, 605 ], "type": "text", "content": "和较弱的相对结合力,它们在外力作用下容易产生显著变形。因此,软组织的生物力学特性通常", "score": 1.0 } ] }, { "bbox": [ 76, 607, 385, 619 ], "spans": [ { "bbox": [ 76, 607, 385, 619 ], "type": "text", "content": "表现为不均匀性、各向异性、准不可压缩性以及非线性塑性粘弹性。", "score": 1.0 } ] } ] }, { "bbox": [ 72, 620, 520, 756 ], "type": "text", "angle": 0, "index": 6, "lines": [ { "bbox": [ 96, 621, 517, 633 ], "spans": [ { "bbox": [ 96, 621, 517, 633 ], "type": "text", "content": "软组织力学模型研究在不同外力加载下组织的响应。传统上,研究者通过对软组织进行一系", "score": 1.0 } ] }, { "bbox": [ 76, 635, 517, 646 ], "spans": [ { "bbox": [ 76, 635, 517, 646 ], "type": "text", "content": "列力学实验来探究其特性,这些实验分为体内实验和体外实验。体内实验是在生物体内进行,其", "score": 1.0 } ] }, { "bbox": [ 76, 648, 517, 660 ], "spans": [ { "bbox": [ 76, 648, 517, 660 ], "type": "text", "content": "优点是测量准确度高,但操作难度大并且在实际操作中存在诸多不便。相对而言,体外实验是将", "score": 1.0 } ] }, { "bbox": [ 76, 662, 516, 673 ], "spans": [ { "bbox": [ 76, 662, 516, 673 ], "type": "text", "content": "研究对象从生物体内取出,在控制的外部环境中进行实验,这类实验操作简便,精度也较容易得", "score": 1.0 } ] }, { "bbox": [ 74, 675, 518, 688 ], "spans": [ { "bbox": [ 74, 675, 518, 688 ], "type": "text", "content": "到保障,因此大多数当前实验都采用体外实验来获取数据。为了更准确地描述软组织的力学行为,", "score": 1.0 } ] }, { "bbox": [ 75, 689, 517, 701 ], "spans": [ { "bbox": [ 75, 689, 517, 701 ], "type": "text", "content": "必须首先理解应力和应变的基本概念。应力是指作用在材料单位面积上的力,可以视为力与面积", "score": 1.0 } ] }, { "bbox": [ 74, 703, 519, 715 ], "spans": [ { "bbox": [ 74, 703, 519, 715 ], "type": "text", "content": "之比的极限值。在物体的任意面积ΔS上,取法线方向为 v,并定义 v 指向的方向为正方向。对该", "score": 1.0 } ] }, { "bbox": [ 74, 715, 518, 730 ], "spans": [ { "bbox": [ 74, 715, 518, 730 ], "type": "text", "content": "面施加一个力ΔF,如图 19 所示,当ΔS 趋近于零,力与面积之比(??/??)的极限即定义为应力,", "score": 1.0 } ] }, { "bbox": [ 76, 730, 515, 742 ], "spans": [ { "bbox": [ 76, 730, 515, 742 ], "type": "text", "content": "用? = ??/??表示。这个应力概念是力学模型中描述力作用效应的基础,对于理解和模拟生物组", "score": 1.0 } ] }, { "bbox": [ 76, 744, 517, 755 ], "spans": [ { "bbox": [ 76, 744, 517, 755 ], "type": "text", "content": "织在外力作用下的行为至关重要。通过这种方式,建立起一套表征软组织物理特性的完整力学模", "score": 1.0 } ] } ] } ], "discarded_blocks": [ { "bbox": [ 292, 796, 302, 804 ], "type": "page_number", "angle": 0, "index": 7, "lines": [] } ], "page_size": [ 595, 842 ], "page_idx": 15 }, { "para_blocks": [ { "bbox": [ 73, 72, 323, 85 ], "type": "text", "angle": 0, "index": 0, "lines": [ { "bbox": [ 74, 73, 323, 85 ], "spans": [ { "bbox": [ 74, 73, 323, 85 ], "type": "text", "content": "型,为手术操作和治疗规划提供必要的生物力学支持。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 171, 87, 291, 194 ], "blocks": [ { "bbox": [ 171, 87, 291, 194 ], "lines": [ { "bbox": [ 171, 87, 291, 194 ], "spans": [ { "bbox": [ 171, 87, 291, 194 ], "type": "image", "image_path": "aaa64cacbcaa595837ff1ee262429a114ff6ea9d61fb7817322cef5e9d11b814.jpg" } ] } ], "index": 1, "angle": 0, "type": "image_body" } ], "index": 1 }, { "type": "image", "bbox": [ 303, 86, 434, 197 ], "blocks": [ { "bbox": [ 303, 86, 434, 197 ], "lines": [ { "bbox": [ 303, 86, 434, 197 ], "spans": [ { "bbox": [ 303, 86, 434, 197 ], "type": "image", "image_path": "14770c2f1557f139711e363837034f017ccd873cfb8a4673cf36d0e46c7f54e8.jpg" } ] } ], "index": 2, "angle": 0, "type": "image_body" }, { "bbox": [ 215, 197, 376, 209 ], "lines": [ { "bbox": [ 217, 197, 376, 211 ], "spans": [ { "bbox": [ 217, 197, 376, 211 ], "type": "text", "content": "图 19 生物力学仿真应力分析模型", "score": 1.0 } ] } ], "index": 3, "angle": 0, "type": "image_caption" } ], "index": 2 }, { "bbox": [ 72, 211, 520, 346 ], "type": "text", "angle": 0, "index": 4, "lines": [ { "bbox": [ 95, 211, 518, 223 ], "spans": [ { "bbox": [ 95, 211, 518, 223 ], "type": "text", "content": "软组织的变形行为在生物力学中显示出明显的粘弹性特征。这意味着当软组织承受恒定的应", "score": 1.0 } ] }, { "bbox": [ 75, 225, 517, 237 ], "spans": [ { "bbox": [ 75, 225, 517, 237 ], "type": "text", "content": "力时,它的应变会随时间逐步增加;反之,当软组织维持恒定应变时,其内部应力会随着时间的", "score": 1.0 } ] }, { "bbox": [ 75, 239, 517, 250 ], "spans": [ { "bbox": [ 75, 239, 517, 250 ], "type": "text", "content": "推移而逐渐减少。为准确描述这种粘弹性行为,研究者们采用了弹簧和阻尼器的组合来构建粘弹", "score": 1.0 } ] }, { "bbox": [ 75, 253, 517, 265 ], "spans": [ { "bbox": [ 75, 253, 517, 265 ], "type": "text", "content": "性模型,其中弹簧部分代表组织的弹性固体特性,而阻尼器则模拟了组织的粘性流体特性。通过", "score": 1.0 } ] }, { "bbox": [ 76, 266, 517, 278 ], "spans": [ { "bbox": [ 76, 266, 517, 278 ], "type": "text", "content": "以不同的方式组合不同数量的弹簧和阻尼器,可以近似模拟软组织的复杂粘弹性响应。这种方法", "score": 1.0 } ] }, { "bbox": [ 76, 280, 518, 291 ], "spans": [ { "bbox": [ 76, 280, 518, 291 ], "type": "text", "content": "使建立起一个具有非线性特性的软组织仿真系统,如图 20所示。在手术中可以利用腹腔镜视频的", "score": 1.0 } ] }, { "bbox": [ 75, 294, 517, 305 ], "spans": [ { "bbox": [ 75, 294, 517, 305 ], "type": "text", "content": "图像语义分割技术来识别解剖学上的标志点或标志线,从而确定软组织的形变边界。然后,这些", "score": 1.0 } ] }, { "bbox": [ 75, 308, 516, 319 ], "spans": [ { "bbox": [ 75, 308, 516, 319 ], "type": "text", "content": "边界可以被映射回腹腔镜视频图像中,以指导手术操作和评估组织的变形状况。这种方法不仅提", "score": 1.0 } ] }, { "bbox": [ 75, 321, 517, 332 ], "spans": [ { "bbox": [ 75, 321, 517, 332 ], "type": "text", "content": "高了微创手术中软组织形变控制的准确性,也为手术过程提供了重要的实时信息参考反馈,增强", "score": 1.0 } ] }, { "bbox": [ 75, 335, 155, 346 ], "spans": [ { "bbox": [ 75, 335, 155, 346 ], "type": "text", "content": "手术可视化效果。", "score": 1.0 } ] } ] }, { "type": "image", "bbox": [ 118, 347, 295, 445 ], "blocks": [ { "bbox": [ 118, 347, 295, 445 ], "lines": [ { "bbox": [ 118, 347, 295, 445 ], "spans": [ { "bbox": [ 118, 347, 295, 445 ], "type": "image", "image_path": "c35fc043895f54473dbd2cf6679b2de1adb7267e9f2fc37df8b561334cdc2cfe.jpg" } ] } ], "index": 5, "angle": 0, "type": "image_body" } ], "index": 5 }, { "type": "image", "bbox": [ 298, 346, 476, 445 ], "blocks": [ { "bbox": [ 298, 346, 476, 445 ], "lines": [ { "bbox": [ 298, 346, 476, 445 ], "spans": [ { "bbox": [ 298, 346, 476, 445 ], "type": "image", "image_path": "52010da96b045c61701b55e06b32747b7691f9c8d6e2d00c31f4f3e87eb43f79.jpg" } ] } ], "index": 6, "angle": 0, "type": "image_body" } ], "index": 6 }, { "type": "image", "bbox": [ 119, 446, 296, 579 ], "blocks": [ { "bbox": [ 119, 446, 296, 579 ], "lines": [ { "bbox": [ 119, 446, 296, 579 ], "spans": [ { "bbox": [ 119, 446, 296, 579 ], "type": "image", "image_path": "a54c8885c49ffcc742f8a4a1141a235a0f97aa81b3f0fcefa965550cc608a45f.jpg" } ] } ], "index": 7, "angle": 0, "type": 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[ { "bbox": [ 96, 608, 517, 619 ], "type": "text", "content": "在微创手术中,利用柔性生物力学模拟技术预测和模拟术前影像的三维组织形变后,为了精", "score": 1.0 } ] }, { "bbox": [ 76, 622, 517, 633 ], "spans": [ { "bbox": [ 76, 622, 517, 633 ], "type": "text", "content": "确地调整和匹配术中观察到的实际组织状态,需借助磁定位技术对内窥镜进行精确定位。通过磁", "score": 1.0 } ] }, { "bbox": [ 75, 634, 517, 647 ], "spans": [ { "bbox": [ 75, 634, 517, 647 ], "type": "text", "content": "定位确定内窥镜的确切位置和方向后,可以相应地调整三维组织模型的位姿,以便它们与内窥镜", "score": 1.0 } ] }, { "bbox": [ 74, 648, 518, 660 ], "spans": [ { "bbox": [ 74, 648, 518, 660 ], "type": "text", "content": "在手术过程中的动态运动轨迹相匹配。如图 21所示,这种方法可以实现手术组织的实时跟踪和自", "score": 1.0 } ] }, { "bbox": [ 75, 663, 427, 674 ], "spans": [ { "bbox": [ 75, 663, 427, 674 ], "type": "text", "content": "动配准,解决了传统手术中医生需要固定内窥镜位置并手动匹配的繁琐问题。", "score": 1.0 } ] } ] }, { "bbox": [ 72, 675, 519, 756 ], "type": "text", "angle": 0, "index": 12, "lines": [ { "bbox": [ 95, 674, 518, 688 ], "spans": [ { "bbox": [ 95, 674, 518, 688 ], "type": "text", "content": "同时,术中磁定位辅助手术组织配准系统为医生提供实时反馈,确保手术区域的重要解剖部", "score": 1.0 } ] }, { "bbox": [ 75, 690, 517, 702 ], "spans": [ { "bbox": [ 75, 690, 517, 702 ], "type": "text", "content": "位被准确标识,实现脏器边界的清晰可视化。这对于直观展示目标脏器组织的分界线以及校正脏", "score": 1.0 } ] }, { "bbox": [ 75, 703, 517, 715 ], "spans": [ { "bbox": [ 75, 703, 517, 715 ], "type": "text", "content": "器组织位置极为关键。如此,不仅有效减少了血管和神经的损伤风险,也避免了医源性的二次伤", "score": 1.0 } ] }, { "bbox": [ 75, 717, 517, 729 ], "spans": [ { "bbox": [ 75, 717, 517, 729 ], "type": "text", "content": "害。此外,磁定位辅助系统能够实时监测并提示手术是否偏离了术前规划的路径,及时进行路径", "score": 1.0 } ] }, { "bbox": [ 75, 731, 517, 741 ], "spans": [ { "bbox": [ 75, 731, 517, 741 ], "type": "text", "content": "矫正与实时分析,优化手术流程。这种高度集成的导航和跟踪系统,不仅提升了手术的安全性和", "score": 1.0 } ] }, { "bbox": [ 75, 744, 470, 756 ], "spans": [ { "bbox": [ 75, 744, 470, 756 ], "type": "text", "content": "效率,而且显著改善了患者的治疗结果,为每一位接受手术的患者带来了实际的利益。", "score": 1.0 } ] } ] } ], "discarded_blocks": [ { "bbox": [ 292, 796, 302, 804 ], "type": "page_number", 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18, "lines": [ { "bbox": [ 95, 713, 518, 724 ], "spans": [ { "bbox": [ 95, 713, 518, 724 ], "type": "text", "content": "3. 平台利用微创手术图文报告生成系统,通过现有微创外科手术的图文影像采集设备,结合", "score": 1.0 } ] }, { "bbox": [ 74, 726, 518, 738 ], "spans": [ { "bbox": [ 74, 726, 518, 738 ], "type": "text", "content": "微创术后图文记录生成模块,形成体系化的微创术中影像记录与分析系统,打造定制化图文报告,", "score": 1.0 } ] }, { "bbox": [ 76, 740, 517, 751 ], "spans": [ { "bbox": [ 76, 740, 517, 751 ], "type": "text", "content": "有效提高医患沟通效率与信任度。未来将进一步优化软硬件系统,优化本平台设施,有效为手术", "score": 1.0 } ] }, { "bbox": [ 75, 754, 517, 766 ], "spans": [ { "bbox": [ 75, 754, 517, 766 ], "type": "text", "content": "患者提供个性化定制图文记录及术后随访服务;并为基层医院提供远程医疗会诊服务,实现优质", "score": 1.0 } ] } ] } ], "sub_type": "text" } ], "discarded_blocks": [ { "bbox": [ 292, 796, 302, 804 ], "type": "page_number", "angle": 0, "index": 20, "lines": [] } ], "page_size": [ 595, 842 ], "page_idx": 19 }, { "para_blocks": [ { "bbox": [ 74, 73, 143, 85 ], "type": "text", "angle": 0, "index": 0, "lines": [ { 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序号预算科目名称经费预算(单位:万元)
1设备费0.0
2材料费2.6
3测试化验加工费0.0
4会议/差旅/国际合作交流费(需明确国际差旅)0.0
5出版/文献/信息传播/知识产权事务费0.0
6专家咨询费0.0
7劳务费0.4
8其他(请单独列示)0.0
9合计3
计算依据与说明:\n1. 设备费:无\n2. 材料费:无\n3. 测试化验加工费:无\n4. 会议/差旅/国际合作交流费(需明确国际差旅):无\n5. 出版/文献/信息传播/知识产权事务费:无\n6. 专家咨询费:无\n7. 劳务费:无\n8. 其他(请单独列示):无
", "image_path": "ccd72dc0dcb6f350beee542fb64eefcd6ff399e0aef1ae84ed8529d9fc53fc89.jpg" } ] } ], "index": 1, "angle": 0, "type": "table_body" } ], "index": 1 } ], "discarded_blocks": [ { "bbox": [ 291, 781, 301, 790 ], "type": "page_number", "angle": 0, "index": 2, "lines": [ { "bbox": [ 290, 781, 303, 794 ], "spans": [ { "bbox": [ 290, 781, 303, 794 ], "type": "text", "content": "21", "score": 1.0 } ] } ] } ], "page_size": [ 595, 841 ], "page_idx": 21 }, { "para_blocks": [ { "bbox": [ 86, 79, 218, 97 ], "type": "title", "angle": 0, "index": 0, "lines": [ { "bbox": [ 88, 79, 219, 99 ], "spans": [ { "bbox": [ 88, 79, 219, 99 ], "type": "text", "content": "五、签字和盖章页", "score": 1.0 } ] } ] }, { "bbox": [ 86, 106, 222, 122 ], "type": "text", "angle": 0, "index": 1, "lines": [ { "bbox": [ 88, 106, 223, 123 ], "spans": [ { "bbox": [ 88, 106, 223, 123 ], "type": "text", "content": "项目申请人: 王志博", "score": 1.0 } ] } ] }, { "bbox": [ 284, 106, 449, 122 ], "type": "text", "angle": 0, "index": 2, "lines": [ { "bbox": [ 285, 106, 449, 123 ], "spans": [ { "bbox": [ 285, 106, 449, 123 ], "type": "text", "content": "所在单位: 未来技术学院", "score": 1.0 } ] } ] }, { "bbox": [ 86, 137, 489, 154 ], "type": "text", "angle": 0, "index": 3, "lines": [ { "bbox": [ 86, 135, 490, 156 ], "spans": [ { "bbox": [ 86, 135, 490, 156 ], "type": "text", "content": "项目名称: 磁定位辅助多模态融合微创手术组织自动配准系统", "score": 1.0 } ] } ] }, { "bbox": [ 260, 169, 333, 185 ], "type": "title", "angle": 0, "index": 4, "lines": [ { "bbox": [ 260, 168, 334, 187 ], "spans": [ { "bbox": [ 260, 168, 334, 187 ], "type": "text", "content": "申请人承诺", "score": 1.0 } ] } ] }, { "bbox": [ 110, 192, 406, 205 ], "type": "text", "angle": 0, "index": 5, "lines": [ { "bbox": [ 111, 192, 408, 206 ], "spans": [ { "bbox": [ 111, 192, 408, 206 ], "type": "text", "content": "本人庄严承诺,若违反以下事项,本人愿承担全部责任:", "score": 1.0 } ] } ] }, { "bbox": [ 86, 206, 504, 417 ], "type": "list", "angle": 0, "index": 13, "blocks": [ { "bbox": [ 86, 206, 504, 233 ], "type": "text", "angle": 0, "index": 6, "lines": [ { "bbox": [ 112, 206, 505, 220 ], "spans": [ { "bbox": [ 112, 206, 505, 220 ], "type": "text", "content": "1.本人从未以项目负责人身份获得过学校基本科研业务费自由探索类或交", "score": 1.0 } ] }, { "bbox": [ 88, 221, 491, 234 ], "spans": [ { "bbox": [ 88, 221, 491, 234 ], "type": "text", "content": "叉类(包括学科交叉面上、学科交叉重点、前沿与综合交叉等)项目的资助。", "score": 1.0 } ] } ] }, { "bbox": [ 110, 235, 359, 248 ], "type": "text", "angle": 0, "index": 7, "lines": [ { "bbox": [ 112, 235, 359, 249 ], "spans": [ { "bbox": [ 112, 235, 359, 249 ], "type": "text", "content": "2.本人不是基本科研业务费在研项目的负责人。", "score": 1.0 } ] } ] }, { "bbox": [ 110, 248, 467, 262 ], "type": "text", "angle": 0, "index": 8, "lines": [ { "bbox": [ 111, 248, 468, 263 ], "spans": [ { "bbox": [ 111, 248, 468, 263 ], "type": "text", "content": "3.本项目与本人已获国家、省市计划支持、企业委托的项目不重复。", "score": 1.0 } ] } ] }, { "bbox": [ 86, 263, 504, 290 ], "type": "text", "angle": 0, "index": 9, "lines": [ { "bbox": [ 112, 263, 505, 276 ], "spans": [ { 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序号姓名所在学院参与者亲笔签字\n(形式审查重要内容)签字日期
1王志博未来技术学院
2吕毅第一附属医院
3吴荣谦第一附属医院
4夏灿未来技术学院
5郇乐未来技术学院
6彭薇未来技术学院
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