SBIR PHASE II: TOPIC 41, CARDIOVASCULAR, LUNG AND BLOOD COMPUTATION MODEL LIBRA

开发一个人类心血管和心肺计算机模型库，包括大动脉和气道、通用远端血管床以及代表性血液和组织特性的逼真的基于图像的解剖模型。基于存储库数据的模拟将对我们对心肺病理学、诊断方法和治疗开发的理解产生重大影响，并最终允许医生基于预测方法设计最佳的预纵火治疗计划。该项目将为科学家、工程师、工业界和医生提供关键的数据资源，帮助他们使用模拟方法来预防、诊断和治疗心肺疾病患者。

Develop a repository of human cardiovascular and cardiopulmonary computer models consisting of realistic, image-based anatomic models of large arteries and airways, generic, distal vascular beds, and representative blood and tissue properties. Simulations based on repository data will have significant impact on our understanding of cardiopulmonary pathologies, diagnostic methods and therapy development, and ultimately, allow physicians to design optimal, prearsonalized treatment plans based on predictive methods. The project will yield a critical data resource for scientist, engineers, industry and physicians seeking to use simulation methods to aid in preventing, diagnosing and treating patients with cardiopulmonary dieseases.