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

开发一个人体心血管和心肺计算机模型库，其中包括真实的、基于图像的大动脉和呼吸道、普通血管床、远端血管床以及典型的血液和组织属性的解剖模型。基于资料库数据的模拟将对我们对心肺病理、诊断方法和治疗发展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个性化治疗计划。该项目将为寻求使用模拟方法帮助预防、诊断和治疗心肺疾病患者的科学家、工程师、工业和医生提供关键的数据资源。

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.