COMPUTATION OF ELECTRIC FIELD IN TORSO OF CHILD

儿童躯干电场的计算

• 批准号: 8172260
• 负责人: Rob S. MacLeod
• 金额: $ 11.59万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8172260
• 关键词: Academic Medical Centers; Address; Adolescent; Adult; Algorithms; Anesthesiology; Boston; Cardiac; Cardiology; Child; Childhood; Cities; Clinical; Collaborations; Computer Retrieval of Information on Scientific Projects Database; Computer Simulation; Computer software; Data; Data Set; Defibrillators; Development; Devices; Drainage procedure; Electric Countershock; Elements; Engineering; Environment; Funding; Goals; Grant; Growth; Guidelines; Hospitals; Image; Imagery; Implant; Indium; Institution; Lead; Life; Magnetic Resonance Imaging; Measurement; Medical Imaging; Metric; Modeling; Orthopedics; Pain; Patients; Pediatric Hospitals; Physicians; Population; Research; Research Personnel; Resources; Shapes; Sodium Chloride; Software Tools; Source; Tissues; United States National Institutes of Health; base; bone; cost; electric field; experience; implantable device; implantation; insight; models and simulation; neonate; open source; psychologic; simulation; three-dimensional modeling; tool; wasting; Academic Medical Centers; Address; Adolescent; Adult; Algorithms; Anesthesiology; Boston; Cardiac; Cardiology; Child; Childhood; Cities; Clinical; Collaborations; Computer Retrieval of Information on Scientific Projects Database; Computer Simulation; Computer software; Data; Data Set; Defibrillators; Development; Devices; Drainage procedure; Electric Countershock; Elements; Engineering; Environment; Funding; Goals; Grant; Growth; Guidelines; Hospitals; Image; Imagery; Implant; Indium; Institution; Lead; Life; Magnetic Resonance Imaging; Measurement; Medical Imaging; Metric; Modeling; Orthopedics; Pain; Patients; Pediatric Hospitals; Physicians; Population; Research; Research Personnel; Resources; Shapes; Sodium Chloride; Software Tools; Source; Tissues; United States National Institutes of Health; base; bone; cost; electric field; experience; implantable device; implantation; insight; models and simulation; neonate; open source; psychologic; simulation; three-dimensional modeling; tool; wasting

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Placement of Implantable Cardiac Defibrillators (ICDs) in children is a unique and challenging problem due to the variety of shapes and sizes, ranging from neonate to adolescent, the need for anticipating growth, the cost of device replacement due to battery drainage, and the psychological intolerance of the device by this population. ICD placement in adults, while more routine, is also clearly suboptimal, producing wasted energy, increased pain levels, and reduced battery life. The result in children is an ad hoc array of device placement strategies, based on sparse experience and ignorant of biophysical principles. Although in many cases this approach is ultimately successful in as much as the result is clinically acceptable fibrillation protection, the lack of cohesive strategy leads to inefficient overall management. Moreover, when, in adults and children, a device implant fails, there are no robust guidelines to suggest alternatives and no tools to evaluate such alternatives. Finite element modeling has been shown in adult torso models to correlate well with clinical results but has not enjoyed use in the pediatric population. Nor has there emerged a generally validated software tool that clinicians can use to evaluate device placement options, neither before nor after implantation. Thus, the goal of this collaboration is to model defibrillation in child torso models to develop optimization strategies and software that could help physicians gain insight into this important problem. Dr. John Triedman at the Department of Cardiology, Children's Hospital Boston is the collaborative investigator of this project, assisted in the project by Dr. Matthew Jolley, now an anesthesiology resident at Stanford University Medical Center. The project also has local collaborative support through Drs. Elizabeth Saarel, Tom Pilcher, and Michael Puchalski, all from the Department of Cardiology at Primary Childrens' Hospital in Salt Lake City. The main clinical goal is thus to Determine strategies for optimal, patient specific lead and device placements of ICDs. From this clinical goal come three specific engineering aims of this project: (1) Create subject specific 3D models of children based on CT and MRI data sets for modeling internal and external defibrillation in the SCIRun environment; (2) Explore different metrics of successful defibrillation that can be derived from simulations of ICD placement; (3) Validate simulation results from clinical measurements. Technical progress in this project addresses the larger question of creating subject specific models that are based on medical imaging data and that include different tissue regions. The project will also drive the development of new algorithms, modules, and user interface elements in the SCIRun environment that will find application in other cases of image based modeling and simulation of electric fields (see description of the project on orthopedic bone implant stimulation for an example of how software created for cardiac defibrillation was directly useful for a dramatically different application). The project also represents part of an expanding collaboration between SCI (http://www.sci.utah.edu/) and SPL (http://splweb.bwh.harvard.edu:8000/), the goal of which is to create compatibility integrated open source tools for the creation, visualization, and computational simulation from image based, patient specific models.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 由于多样性，在儿童中放置可植入的心脏除颤器（ICD）是一个独特而挑战的问题 形状和尺寸，从新生儿到青少年，需要预期增长，设备的成本 由于电池的排水以及该人群对设备的心理不耐受而导致的更换。 ICD放置 在成年人中，虽然更常规，但也显然是最佳的，产生浪费的能量，增加疼痛水平并减少 电池寿命。 儿童的结果是基于稀疏经验和 对生物物理原理一无所知。尽管在许多情况下，这种方法最终取得了成功，结果是 由于临床上可接受的纤颤保护，缺乏凝聚力的策略会导致整体管理效率低下。 此外，当在成人和儿童中，设备植入物失败时，没有强大的准则来建议替代方案和 没有评估此类替代方案的工具。 在成人躯干模型中已显示有限元建模，以与临床结果良好相关，但尚未享受 在小儿种群中使用。 也没有出现过临床医生可以使用的一般验证的软件工具 植入之前和之后都不会评估设备放置选项。 因此，这种合作的目的是模拟儿童躯干模型中的除颤，以制定优化策略和 可以帮助医生深入了解这个重要问题的软件。 约翰·特里曼（John Truntman）博士 心脏病学，波士顿儿童医院是该项目的合作调查员，博士协助了该项目。 马修·乔利（Matthew Jolley），现在是斯坦福大学医学中心的麻醉学居民。 该项目也有本地 通过DRS的协作支持。伊丽莎白·萨雷尔（Elizabeth Saarel），汤姆·皮尔彻（Tom Pilcher）和迈克尔·普加尔斯基（Michael Puchalski） 盐湖城初级儿童医院的心脏病学。 因此，主要的临床目标是确定ICD的最佳，患者特定铅和设备放置的策略。 从这个临床目标出现了该项目的三个特定工程目标： （1）根据CT和MRI数据集创建特定主题的儿童特定特定的3D模型，用于建模内部和外部 Scirun环境中的除颤； （2）探索可以从ICD放置的模拟得出的成功除颤的不同指标； （3）验证临床测量结果验证模拟结果。 该项目的技术进步解决了创建基于主题模型的更大问题 医学成像数据，其中包括不同的组织区域。 该项目还将推动新的开发 Scirun环境中的算法，模块和用户界面元素，这些元素将在其他情况下找到应用 电场的基于图像的建模和模拟（请参阅骨科骨骼上的项目描述 刺激一个示例，说明软件为心脏除颤创建方式如何直接有用 不同的应用程序）。 该项目还代表了SCI（http://www.sci.utah.edu/）和SPL之间不断扩展的合作的一部分 （http://splweb.bwh.harvard.edu：8000/），其目的是创建兼容性集成的开源工具 来自基于图像的患者特定模型的创建，可视化和计算模拟。