Real-time Non-Rigid 3D Reconstruction and Registration for Laparoscopic-guided Minimally Invasive Liver Surgery

项目摘要/摘要 肝脏变形导致微创肝手术(MILS)中肿瘤定位困难。这个 这项建议的目标是开发一种有效的手术导航工具，通过补偿肝脏来治疗MILS 将术前数据变形并映射到患者的解剖结构。具体地说，我们将开发一个非刚性的 同时定位与测绘(SLAM)方法估计肝脏表面的变形 立体腹腔镜术视频。我们将开发机器学习方法来检测地标并执行非 严格登记。这些算法将在GPU上实现，以实现实时。初步数据显示 论证了该方法的可行性。在R00阶段，我们将主要针对临床需求和开发新的 提供术中指导的方法。该项目将极大地提高MILS的肿瘤切除精度。 该奖项的候选人周浩银博士是布里格姆大学外科规划实验室(SPL)的博士后。 妇女医院(BWH)和哈佛医学院(HMS)。周博士拥有丰富的经验和专业知识 计算机视觉、机器学习及其在医学中的应用。BWH是BASIC、 对人类疾病的临床和转化研究，并建立了多个研究计划，以 促进青年侦查员工作和职业生涯发展。国家影像指导中心 先进的多模式图像引导手术(AMIGO)套件将极大地支持这项研究。 周博士的长期研究目标是开发和应用先进的计算机视觉和机器学习 提高对疾病的了解、诊断、治疗和预防的技术，以改善卫生保健。 他的长期职业目标是成为一名在医学影像前沿工作的独立调查员 图像处理和图像引导治疗。为了实现这些目标，周博士计划接受更多的教育和 以下四个方面的培训：(1)在医院进行翻译研究的关键培训 环境与外科医生和放射科医生，(2)外科技术开发知识 指导；(3)机器学习及其在医学上的应用培训；及(4)书写助学金培训 独立申请并寻求资金。周博士将参加哈佛大学挑选的正式课程， 哈佛催化剂、麻省理工学院CSAIL和斯坦福课程。他将参加BWH、HMS和MIT的每周研讨会。他 每年还会参加一到两次学术会议，讨论他的工作并会见该领域的专家。 一支强大的指导团队，包括一名主要导师、三名共同导师和两名合作者， 为该奖项的K99阶段而组织，这将为研究和职业生涯提供坚实的支持 基于周博士在不同研究领域的成熟专业知识，该公司将继续向周博士提供研发服务。威廉·M。 Wells III(主要导师)是医学图像处理方面的教授。Jayender Jagadeesan教授(共同导师) 是外科机器人和外科导航方面的助理教授。阿里·塔瓦科利博士和王继平博士(联合 导师)都是有经验的外科医生。所有导师和合作者都来自BWH，HMS。

Project Summary/Abstract Liver deformation leads to difficulties in tumor localization during minimally invasive liver surgery (MILS). The goal of this proposal is to develop an efficient surgical navigation tool for MILS by compensating for liver deformation and mapping preoperative data to the patient’s anatomy. Specifically, we will develop a non-rigid simultaneously localization and mapping (SLAM) approach to estimate the deformation of liver surface from stereo laparoscopy videos. We will develop machine-learning methods to detect landmarks and perform non- rigid registration. The algorithms will be implemented on a GPU to achieve real-time. Preliminary data has demonstrated the feasibility. During the R00 phase, we will mainly address the clinical needs and develop novel ways to provide intraoperative guidance. This project will greatly improve the tumor resection accuracy in MILS. The candidate for this award Dr. Haoyin Zhou is a postdoc at Surgical Planning Laboratory (SPL), Brigham and Women’s Hospital (BWH) and Harvard Medical School (HMS). Dr. Zhou has extensive experience and expertise in computer vision, machine learning and their applications in medicine. BWH is an international leader in basic, clinical and translational research on human diseases, and has established multiple research programs to promote the work and professional career development of young investigators. National Center for Image Guided Therapy, and Advanced Multi-modality Image Guided Operating (AMIGO) suite will greatly support this research. Dr. Zhou’s long-term research goal is to develop and apply advanced computer vision and machine learning technologies to improve understanding, diagnosis, treatment, and prevention of diseases for better health care. His long-term career goal is to become an independent investigator working at the frontier of medical image processing and image-guided therapy. To achieve these goals, Dr. Zhou plans to receive more education and training in the following four areas: (1) Critical training in conducting translational research in the hospital environment with surgeons and radiologists, (2) knowledge in the development of technologies for surgical guidance, (3) training in machine learning and its applications in medicine, and (4) training on writing grant applications independently and seeking funding. Dr. Zhou will participate in formal courses selected from Harvard, Harvard Catalyst, MIT CSAIL and Stanford Courses. He will attend weekly seminars at BWH, HMS and MIT. He will also attend one or two academic conferences per year to discuss his work and meet with experts in the field. A strong mentoring team, including one primary mentor, three co-mentors, and two collaborators, has been organized for the K99 phase of this award, which will provide solid support on both research and career development to Dr. Zhou based on their well-established expertise in diverse research fields. Prof. William M. Wells III (primary mentor) is a professor in medical image processing. Prof. Jayender Jagadeesan (co-mentor) is an assistant professor in surgical robotics and surgical navigation. Drs. Ali Tavakkoli and Jiping Wang (co- mentors) are experienced surgeons. All mentors and collaborators are from BWH, HMS.