SI2-SSI Collaborative Research: The SimCardio Open Source Multi-Physics Cardiac Modeling Package

SI2-SSI 协作研究：SimCardio 开源多物理场心脏建模包

• 批准号: 1663671
• 负责人: Alison Marsden
• 金额: $ 143.12万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1663671&HistoricalAwards=false
• 关键词: SI2; SSI; Collaborative; Research; SimCardio

Cardiovascular (CV) simulations have become a crucial component of fundamental research in surgical planning, device design, diagnosis, and disease mechanisms. The project team has previously developed SimVascular (www.simvascular.org), which is currently the only open source software package providing a complete pipeline from medical image data segmentation to patient specific blood flow simulation and analysis in arteries and veins. The SimCardio open source project will extend and enhance the functionality of SimVascular to the realm of heart modeling, providing the first fully integrated computer model of cardiac physiology and function. This will help basic science and medical researchers perform computer modeling in numerous diseases affecting heart function in children and adults. This computer modeling software will enable researchers to build models of the heart and vascular anatomy directly from medical imaging data, which can be used for personalized treatment planning and medical device design, ultimately leading to new treatments for patients with cardiovascular disease. The SimCardio project will create a unique open source software package for multi-physics cardiac modeling and simulations. SimCardio will include a new multi-physics finite element solver with capabilities for large-deformation fluid-structure interaction (FSI) to capture ventricular contraction and heart valve dynamics, non-linear and visco-elastic material models, cardiac mechanics models of active heart contraction, and electrophysiology. This will be facilitated by sustainable software infrastructure bridging the cardiovascular fluid and solid mechanics communities. The project will provide a new user-interface for high-throughput construction of patient-specific cardiac and vascular models. SimCardio will broaden the applicability of SimVascular to problems including heart valves, heart failure, cardiomyopathy, aortic dissection, structural congenital heart defects and medical devices. To facilitate adoption, the project will publicly provide accompanying educational and training materials, and maintain a sustainable software ecosystem to increase the user community and ensure continued availability and evolution.

心血管（CV）模拟已成为手术计划，设备设计，诊断和疾病机制基础研究的关键组成部分。该项目团队先前已经开发了辛柱（www.simcascular.org），该项目目前是唯一的开源软件包，它提供了从医疗图像数据分割到患者特定的血液流动模拟和动脉和静脉分析的完整管道。 Simcardio开源项目将扩展并增强辛血管对心脏建模领域的功能，从而提供第一个完全集成的心脏生理和功能的计算机模型。这将有助于基础科学和医学研究人员在影响儿童和成人心脏功能的许多疾病中进行计算机建模。该计算机建模软件将使研究人员直接从医学成像数据中构建心脏和血管解剖结构的模型，该数据可用于个性化的治疗计划和医疗设备设计，最终为患有心血管疾病的患者提供了新的治疗方法。 Simcardio项目将创建一个独特的开源软件包，用于多物理心脏建模和仿真。 Simcardio将包括一个新的多物理有限元求解器，具有大型形式的流体结构相互作用（FSI）的功能，可捕获心室收缩和心脏瓣膜动力学，非线性和粘弹性材料模型，主动心脏收缩的心脏力学模型以及电生理学。可持续的软件基础设施桥接心血管流体和固体力学社区，这将促进这一点。该项目将提供一个新的用户界面，用于高通量构造患者特异性心脏和血管模型。 Simcardio将扩大辛卡尔血管对心脏瓣膜，心力衰竭，心肌病，主动脉夹层，结构性先天性心脏缺陷和医疗设备等问题的适用性。为了促进采用，该项目将公开提供随附的教育和培训材料，并维护可持续的软件生态系统，以增加用户社区并确保持续的可用性和发展。

项目成果

svFSI: A Multiphysics Package for Integrated CardiacModeling

svFSI：用于集成心脏建模的多物理场软件包

• DOI: 10.21105/joss.04118
• 发表时间: 2022
• 期刊: Journal of Open Source Software
• 作者: Zhu, Chi;Vedula, Vijay;Parker, Dave;Wilson, Nathan;Shadden, Shawn;Marsden, Alison
• 通讯作者: Marsden, Alison

svMorph: Interactive Geometry-Editing Tools for Virtual Patient-Specific Vascular Anatomies

• DOI: 10.1115/1.4056055
• 发表时间: 2023-03-01
• 期刊: JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME
• 影响因子: 1.7
• 作者: Pham，Jonathan;Wyetzner，Sofia;Marsden，Alison L. L.
• 通讯作者: Marsden，Alison L. L.

Performance of preconditioned iterative linear solvers for cardiovascular simulations in rigid and deformable vessels

用于刚性和可变形血管心血管模拟的预处理迭代线性求解器的性能

• DOI: 10.1007/s00466-019-01678-3
• 发表时间: 2019
• 期刊: Computational Mechanics
• 影响因子: 4.1
• 作者: Seo, Jongmin;Schiavazzi, Daniele E.;Marsden, Alison L.
• 通讯作者: Marsden, Alison L.

Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks

• DOI: 10.1016/j.cma.2021.114038
• 发表时间: 2020-09
• 期刊: Computer methods in applied mechanics and engineering
• 影响因子: 7.2
• 作者: Gabriel Maher;Casey M. Fleeter;D. Schiavazzi;A. Marsden

Branched Latent Neural Maps

分支潜在神经图

• DOI: 10.1016/j.cma.2023.116499
• 发表时间: 2024
• 期刊: Computer Methods in Applied Mechanics and Engineering
• 影响因子: 7.2
• 作者: Salvador, Matteo;Marsden, Alison Lesley
• 通讯作者: Marsden, Alison Lesley