Multiscale Quantification of 3D LV geometry from CT

描述（由申请人提供）：由于缺乏分辨率，传统的心脏成像方法只能让我们专注于左室大小和形状的大体特征（例如MR和超声）。然而，心脏病影响壁，壁结构复杂（如小梁和乳头肌）。在心脏形状分析和心脏功能评估中，由于缺乏分辨率，这些结构通常被忽略。因此，目前还没有人在更精细的尺度上研究正常和患病患者之间的功能和几何变化，而不是简单的大体测量，如总心室大小和壁厚。最近在多检测器CT技术的发展允许在屏息内获取高分辨率同步心脏CT数据。这些新数据使我们能够以前所未有的细节水平评估心室的结构。鉴于上述新发展，我们建议开发新的计算方法来表征和量化LV的几何形状，这在以前是不可能的。这些工具将基于阿克塞尔博士（合作研究者）小组在纽约大学收集的数据。具体而言，本课题的具体目标如下：1)开发在心周期不同阶段的左室结构（包括乳头肌、小梁和瓣膜附着物）的三维分割和可视化工具；2)开发上述结构的量化工具，并对其变化进行统计分析；3)对正常受试者和部分高血压患者进行初步的试点评估。我们会看看高血压对整体结构和细节结构的影响；阿克塞尔博士将提供基本事实，麦迪根博士将提供统计分析，4)根据我们的分析结果开发一个数据库，该数据库将公开提供，并将基于ITK软件工具包（www.itk.org）， PI已经为该工具包贡献了许多分割算法。

DESCRIPTION (provided by applicant): Traditional cardiac imaging methods have only allowed us to focus on gross features of LV size and shape, due to lack of resolution (e.g., MR and ultrasound). However, heart disease affects the walls and the wall structure is complex (e.g., trabeculae and papillary muscles). These structures are usually ignored, due to lack of resolution, in cardiac shape analysis and cardiac functional assessment. Thus, no one has yet studied the functional and geometric changes between normal and diseased patients at a finer scale than simple gross measures, such as overall ventricular size and wall thickness. Recent developments in multidetector CT technology allow the acquisition of high resolution synchronized cardiac CT data within a breathhold. These new data allows us to assess the structure of the ventricles at an unprecedented level of detail. Given the above new developments, we propose to develop novel computational methods to characterize and quantify the geometry of the LV at levels which were not previously possible. These tools will be based on already collected data at NYU by Dr. Axel's (co-investigator) group. In particular, the specific aims of this proposal are as follows: 1) Develop tools for segmentation and visualization in 3D of the LV structure, including papillary muscles, trabeculae and valve attachments, at different phases of the cardiac cycle, 2) Develop tools for quantification of the architecture of the above structures and statistical analysis on their variations, 3) Perform an initial pilot assessment on normal subjects and some patients with high blood pressure. We will look at the effects of high blood pressure on both the overall structure and the detailed structure; Dr. Axel will provide the groundtruth and Dr. Madigan will provide the statistical analysis, and 4) Development of a database from our analysis results which will be made publicly available, and will be based on the ITK software toolkit (www.itk.org), to which the PI has already contributed many segmentation algorithms.