Localizing calcifications in cardiac CT data sets using a new vessel segmentation approach
Localizing calcifications in cardiac CT data sets using a new vessel segmentation approach
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DOI：
10.1007/s10278-006-9947-6
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发表时间：
2006-09-01
影响因子：
4.4
通讯作者：
Firle, Evelyn A.
中科院分区：
文献类型：
--
作者：
Wesarg, Stefan;Khan, M. Fawad;Firle, Evelyn A.
新一代多层计算机断层扫描（CT）扫描仪允许获得心脏的高分辨率图像。基于这些图像数据，心脏可以以一种无创的方式进行分析——一方面提高心血管功能障碍的诊断，另一方面提高最终必要干预的计划。评价冠状动脉疾病严重程度的一个重要参数是钙化（硬斑块）的数量和定位。这项工作提出了一种定位这些钙化的方法，采用了一种新开发的血管分割方法。这种提取技术是为心脏增强CT数据集开发的，并经过了测试。该算法提供了足够的信息来计算沿提取段的血管直径。提出了一种结合直径信息和灰度值分析的钙化区域自动检测方法。此外，还描述了用于这些分析结果可视化的特殊适应方法。
The new generation of multislice computed tomography (CT) scanners allows for the acquisition of high-resolution images of the heart. Based on that image data, the heart can be analyzed in a noninvasive way-improving the diagnosis of cardiovascular malfunctions on one hand, and the planning of an eventually necessary intervention on the other. One important parameter for the evaluation of the severeness of a coronary artery disease is the number and localization of calcifications (hard plaques). This work presents a method for localizing these calcifications by employing a newly developed vessel segmentation approach. This extraction technique has been developed for, and tested with, contrast-enhanced CT data sets of the heart. The algorithm provides enough information to compute the vessel diameter along the extracted segment. An approach for automatically detecting calcified regions that combines diameter information and gray value analysis is presented. In addition, specially adapted methods for the visualization of these analysis results are described.