CVJan 11, 2021

Coronary Plaque Analysis for CT Angiography Clinical Research

arXiv:2101.03799v17 citations
Originality Synthesis-oriented
AI Analysis

This software provides a tool for clinical researchers to analyze coronary plaque, addressing the need for integrated solutions beyond individual algorithmic components.

This paper presents an integrated software solution for analyzing coronary plaque deposits from CT angiography scans. It offers robust automatic centerline extraction and vessel wall segmentation, alongside manual correction tools and capabilities for tissue composition analysis.

The analysis of plaque deposits in the coronary vasculature is an important topic in current clinical research. From a technical side mostly new algorithms for different sub tasks - e.g. centerline extraction or vessel/plaque segmentation - are proposed. However, to enable clinical research with the help of these algorithms, a software solution, which enables manual correction, comprehensive visual feedback and tissue analysis capabilities, is needed. Therefore, we want to present such an integrated software solution. It is able to perform robust automatic centerline extraction and inner and outer vessel wall segmentation, while providing easy to use manual correction tools. Also, it allows for annotation of lesions along the centerlines, which can be further analyzed regarding their tissue composition. Furthermore, it enables research in upcoming technologies and research directions: it does support dual energy CT scans with dedicated plaque analysis and the quantification of the fatty tissue surrounding the vasculature, also in automated set-ups.

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