Multiscale Quantification of 3D LV geometry from CT

描述（由申请人提供）：由于缺乏分辨率（例如，MR和超声）。然而，心脏病影响壁，并且壁结构复杂（例如，小梁和乳头肌）。在心脏形态分析和心功能评价中，由于分辨率不够，这些结构往往被忽略。因此，还没有人在比简单的大体测量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，例如总体心室大小和壁厚度。多探测器CT技术的最新发展允许在屏气内采集高分辨率同步心脏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。鉴于上述新的发展，我们建议开发新的计算方法来表征和量化LV的几何形状在以前不可能的水平。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，该提案的具体目标如下：1）开发用于在心动周期的不同阶段对LV结构（包括乳头肌、小梁和瓣膜附件）进行3D分割和可视化的工具，2）开发用于量化上述结构的架构和对其变化进行统计分析的工具，3）对正常受试者和部分高血压患者进行初步试点评估。我们将研究高血压对整体结构和详细结构的影响;阿克塞尔博士将提供基础数据，Madigan博士将提供统计分析，以及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已为其提供了许多分割算法。

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.