Collaborative Research: Inverse-Consistent Determination of Effective Young's Modulus for Human Lung

合作研究：人肺有效杨氏模量的逆一致性测定

• 批准号: 1200841
• 负责人: Olusegun Ilegbusi
• 金额: $ 29.92万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1200841&HistoricalAwards=false
• 关键词: Collaborative; Research; Inverse; Consistent; Determination

The research objective of this award is to use a combination of computational tools, radiological imaging and image processing methods to determine consistent effective elastic properties of human lung in a non-invasive manner. Such data, which do not currently exist, will enable accurate simulation of lung dynamics for targeted radiotherapy. Studies conducted under this award will reproduce lung geometry from computed tomography imaging, simulate by means of computational and image processing tools the airflow and spatial deformation of the lungs, and iteratively estimate the effective tissue elasticity for known values of airflow and deformation predicted using the computational tool. The estimated tissue elastic properties will be validated by comparison with manual landmark tracking established by a clinical expert.This research, if successful, will significantly improve knowledge base on biomechanical properties of human tissue structures, and establish a property-performance relationship between the tissues and a wide range of clinical procedures. The approach could be used in a radiotherapy clinical workflow designed to track tumor motion and develop improved radiotherapy treatment that ultimately improves patient's treatment outcome and reduces overall cost. The knowledge gained from this study could be extended to other anatomical sites including biomechanical stress-induced plaque rupture in cardiovascular disease, estimation of cardiac tissue elasticity, and to address variations in imaging modality. This award is multidisciplinary, involving collaboration among scientists, engineers and clinicians at three institutions. The education plan focuses on nurturing the next generation of scientists and engineers by providing them with an opportunity to work on challenging problems of practical importance across disciplines. Undergraduate and graduate students will be engaged in the research, and will benefit from integration of research findings into classroom instruction and the multidisciplinary training in diverse fields.

该奖项的研究目标是利用计算工具、放射成像和图像处理方法的结合，以非侵入性方式确定人体肺部一致的有效弹性特性。目前尚不存在的此类数据将能够准确模拟靶向放射治疗的肺部动力学。该奖项下进行的研究将通过计算机断层扫描成像再现肺部几何形状，通过计算和图像处理工具模拟肺部的气流和空间变形，并迭代估计使用计算预测的已知气流和变形值的有效组织弹性。工具。估计的组织弹性特性将通过与临床专家建立的手动标志跟踪进行比较来验证。这项研究如果成功，将显着改善人体组织结构生物力学特性的知识库，并建立组织和组织之间的特性-性能关系。广泛的临床程序。该方法可用于放射治疗临床工作流程，旨在跟踪肿瘤运动并开发改进的放射治疗方法，最终改善患者的治疗结果并降低总体成本。从这项研究中获得的知识可以扩展到其他解剖部位，包括心血管疾病中生物力学应力引起的斑块破裂、心脏组织弹性的估计以及解决成像方式的变化。该奖项是多学科的，涉及三个机构的科学家、工程师和临床医生之间的合作。该教育计划的重点是培养下一代科学家和工程师，为他们提供跨学科解决具有实际意义的挑战性问题的机会。本科生和研究生将参与研究，并将研究成果融入课堂教学和不同领域的多学科培训中受益。