Approach-specific, multi-GPU, multi-tool, high-realism neurosurgery simulation

特定方法、多 GPU、多工具、高真实感神经外科模拟

• 批准号: 7801403
• 负责人: Michel Albert Audette
• 金额: $ 28.63万
• 依托单位: KITWARE, INC.
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-05 至 2012-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7801403
• 关键词: Acceleration; Accounting; Address; Anatomic Models; Authorization documentation; Biological Preservation; Biomechanics; Blood Vessels; Boston; Brain; Cephalic; Clinical; Complement; Computer software; Computer-Assisted Diagnosis; Computers; Data; Development; Devices; Dissection; Doctor of Philosophy; Double-Blind Method; Drug Formulations; Education; Elements; Engineering; Exhibits; Feedback; France; Freedom; Future; Gallbladder; Gestures; Hospitals; Human Resources; Image; Image Analysis; Image-Guided Surgery; Imagery; Individual; Internships; Label; Laparoscopic Cholecystectomy; Magnetic Resonance Imaging; Mechanics; Medical; Medical Imaging; Modeling; Morbidity - disease rate; Morphology; Motion; Motivation; Needles; North Carolina; Nose; Ontology; Operative Surgical Procedures; Optic Nerve; Outcome; Pathology; Patients; Phase; Physician Executives; Principal Investigator; Procedures; Research; Resolution; Schedule; Specific qualifier value; Surgeon; Sylvius fissure; System; Technology; Textbooks; Time; Tissues; Training; Universities; Weight; base; brain tissue; college; experience; flexibility; graphical user interface; grasp; haptics; improved; instrument; meetings; member; mortality; multidisciplinary; neurosurgery; open source; professor; prototype; public health relevance; response; simulation; skills; tool; tumor; validation studies; virtual

DESCRIPTION (provided by applicant): Simulation has made limited inroads in neurosurgery, despite validation studies demonstrating its advantages over traditional training. It has emphasized needle insertion and failed to address requirements of surgeons-in-training on most future caseloads. Existing simulators exhibit brain mesh that lacks separability about fissures, is insufficiently sparse to resolve large displacements interactively, and does not account for critical tissues. These simulators also have only modeled simple instruments. Our long-term objective is an interactive simulator that replicates most future cases of young surgeons, enabling hospitals faced with compressed internship schedules to accelerate training and improve skills where patient outcome correlates with surgical experience. This objective will be met by integrating a multi-resolution brain mesh that is sparse and sulcal-separable at the coarse level and descriptive at the fine level, biomechanics based on interactive nonlinear multi-grid finite elements, multi-tool interaction achieved through flexible haptics, and clinical requirements specified through surgical ontologies. Our hypothesis is that for interactive neurosurgery simulation to be relevant and technically feasible, anatomical modeling must be sufficiently descriptive in intra-surgical motion and tissue morphology, biomechanics must be faithful to tissue response, haptics must afford multi-tool interaction, and the system must meet clinical requirements reflecting the specific surgical approach and pathology. PUBLIC HEALTH RELEVANCE: Existing neurosurgery simulators fail to meet the needs of surgeons-in-training because the brain mesh model, needed for synthesizing biomechanical tissue response, as well as the haptic device, manipulated by the user to enter a gesture to the computer, are not descriptive enough, and because clinical specifications for simulation are insufficiently rigorous. Our long-term objective is an interactive simulator that replicates most future caseloads of young surgeons. This objective will be met by integrating 1) a multi-resolution brain mesh that is sparse and separable at brain fissures at the coarse level and descriptive of relevant tissues at the fine level, 2) biomechanics based on interactive nonlinear finite elements, 3) multi-tool interaction achieved through flexible haptics, and 4) clinical requirements specified through surgical ontologies based on the specific approach and pathology.

描述（由申请人提供）：尽管验证研究表明其优于传统训练，但模拟在神经外科方面的进展有限。它强调针头插入，未能解决在培训中的外科医生对大多数未来病例负荷的要求。现有的模拟器显示，大脑网格缺乏裂缝的可分离性，不够稀疏，无法交互地解决大位移，也没有考虑到关键组织。这些模拟器也只能模拟简单的仪器。我们的长期目标是一个交互式模拟器，可以复制大多数年轻外科医生的未来病例，使医院能够面对压缩的实习时间表，加快培训和提高技能，患者的结果与手术经验相关。这一目标将通过整合多分辨率脑网格来实现，该网格在粗层次上是稀疏的、可分离的，在细层次上是描述性的，基于交互式非线性多网格有限元的生物力学，通过柔性触觉实现的多工具交互，以及通过外科本体论指定的临床需求。我们的假设是，为了使交互式神经外科模拟具有相关性和技术可行性，解剖模型必须充分描述术中运动和组织形态，生物力学必须忠实于组织反应，触觉必须提供多工具交互，系统必须满足临床要求，反映特定的手术方法和病理。