Localizing Calcifications in Cardiac CT Data Sets Using a New Vessel Segmentation Approach

Stefan Wesarg; M. Fawad Khan; Evelyn A. Firle

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Localizing Calcifications in Cardiac CT Data Sets Using a New Vessel Segmentation Approach

机译：使用新的血管分割方法对心脏CT数据集中的钙化进行定位

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摘要

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.

机译：新一代的多层计算机断层扫描（CT）扫描仪可以采集心脏的高分辨率图像。基于该图像数据，可以以非侵入性方式分析心脏-一方面改善了对心血管疾病的诊断，另一方面改善了对最终必要干预措施的规划。评估冠状动脉疾病严重程度的一个重要参数是钙化的数量和位置（硬斑）。这项工作提出了一种通过采用新开发的血管分割方法来定位这些钙化的方法。已经针对心脏的增强对比的CT数据集开发了这种提取技术，并对其进行了测试。该算法提供了足够的信息来计算沿提取段的血管直径。提出了一种自动检测钙化区域的方法，该方法结合了直径信息和灰度值分析。此外，还介绍了专门用于这些分析结果可视化的方法。

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来源
《Journal of Digital Imaging》 |2006年第3期|249-257|共9页
作者
Stefan Wesarg; M. Fawad Khan; Evelyn A. Firle;
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作者单位

FhG-IGD Department of Cognitive Computing ampamp Medical Imaging Darmstadt Germany;

Institute for Diagnostic and Interventional Radiology Johann Wolfgang Goethe University Frankfurt Germany;

FhG-IGD Department of Cognitive Computing ampamp Medical Imaging Darmstadt Germany;

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正文语种 eng
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关键词
Computed tomography; vessel segmentation; coronary arteries; calcification; image analysis; visualization;

机译：计算机体层摄影术;血管分割;冠状动脉;钙化;图像分析;可视化;

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机译：3D使用多尺度血管函数的血管树分割和级别的方法
2. Vessel membrane segmentation and calcification location in intravascular ultrasound images using a region detector and an effective selection strategy [J] . Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2020,第期

机译：血管膜分割和钙化位置在使用区域检测器和有效选择策略中的血管内超声图像
3. Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach [J] . Guo Fumin, Ng Matthew, Goubran Maged, Medical image analysis . 2020,第1期

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5. Segmentation and characterization of small retinal vessels in fundus images using the tensor voting approach [D] . Christodoulidis, Argyrios. 2017

机译：张量表决法在眼底图像中分割和表征小视网膜血管
6. Localizing Calcifications in Cardiac CT Data Sets Using a New Vessel Segmentation Approach [O] . Stefan Wesarg, M. Fawad Khan, Evelyn A. Firle 2006

机译：使用新的血管分割方法对心脏CT数据集中的钙化进行定位
7. Localizing Calcifications in Cardiac CT Data Sets Using a New Vessel Segmentation Approach [O] . Wesarg, Stefan, Khan, M. Fawad, Firle, Evelyn A. 2006

机译：使用新的血管分割方法对心脏CT数据集中的钙化进行定位
8. Marker-Based Approach for the Automated Selection of a Single Segmentation from a Hierarchical Set of Image Segmentations [R] . Tarabalka, Y., Tilton, J. C., Benediktsson, J. A., 2012

机译：基于标记的方法从一组图像分割中自动选择单个分割

Localizing Calcifications in Cardiac CT Data Sets Using a New Vessel Segmentation Approach

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