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

基本信息

批准号：
8037100
负责人：
Andinet Asmamaw Enquobahrie
金额：
$ 28.68万
依托单位：
KITWARE, INC.
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-03-05 至 2013-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8037100
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 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

项目摘要

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）：尽管验证研究证明了其在传统培训中的优势，但模拟在神经外科手术方面有限。它强调了针头插入，未能解决大多数未来案件的培训的要求。现有的模拟器表现出对裂缝缺乏可分离性的脑网，不足以交互方式解决大型位移，并且不解释关键组织。这些模拟器还只有建模的简单仪器。我们的长期目标是一个互动模拟器，它复制了未来的年轻外科医生的大多数病例，使医院能够面临压缩的实习时间表，以加速培训并提高患者结果与手术经验相关的技能。将通过整合在粗层上稀疏且可在罚款水平描述性的多分辨率的脑网，基于相互作用的非线性多网络有限元元素，通过柔性触觉和通过手术室指定的临床需求实现的多功能互动的生物力学。我们的假设是，要使交互式神经外科模拟具有相关性并且在技术上是可行的，解剖模型必须在手术内运动和组织形态学中足够描述，生物力学必须忠于组织反应，触觉必须提供多型工具互动，并且系统必须提供多型临床需求，并且必须满足临床方法，以反映出特定的表情和病理学。公共卫生相关性：现有的神经外科手术模拟器无法满足外科医生训练的需求，因为脑网格模型（用于合成生物力学组织反应所需的脑网格模型以及用户操纵的触觉设备，以对计算机的手势操纵，并且对模拟的临床规格不足，并且不够严格。我们的长期目标是一个互动模拟器，它复制了年轻外科医生的大多数未来案件。将通过整合1）多分辨率的大脑网状，该目标在较粗糙的脑部裂缝处稀疏且可分开，在良好水平的相关组织的粗糙水平和描述性，2）基于互动非线性有限元元素的生物力学，3）通过灵活的传播来实现的多型工具相互作用，以及通过柔韧性的临床要求，以及4）基于临床学的临床学和临床学的方法。

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Integration of a Multigrid ODE solver into an open medical simulation framework.

将多重网格 ODE 求解器集成到开放式医学模拟框架中。

DOI：
10.1109/embc.2012.6346617
发表时间：
2012
期刊：
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子：
0
作者：
Wu,Xunlei;Yao,Jianhua;Enquobahrie,Andinet;Lee,Huai-Ping;Audette,MichelA
通讯作者：
Audette,MichelA

Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software.

使用公共领域和开源软件进行神经外科模拟的特定方法多网格解剖建模。

DOI：
10.1117/12.877883
发表时间：
2011
期刊：
Proceedings of SPIE--the International Society for Optical Engineering
影响因子：
0
作者：
Audette,MichelA;Rivière,Denis;Law,Charles;Ibanez,Luis;Aylward,StephenR;Finet,Julien;Wu,Xunlei;Ewend,MatthewG
通讯作者：
Ewend,MatthewG

Neurosurgery Simulation Using Non-linear Finite Element Modeling and Haptic Interaction.

使用非线性有限元建模和触觉交互进行神经外科模拟。