Dual snake-based vessel wall detection for MSCT coronary artery analysis

Shyh Roei Wang, Chun Liang Tung, Ming Ting Wu, Yung Nien Sun

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)

摘要

This paper presents a novel methodology for precise detection of both sides of the arterial walls (lumen border and vessel border) in multi-slice computed tomography (MSCT) angiography for coronary artery disease analysis. First, a 3D region growing strategy with a volume limitation quickly determines the center of the coronary artery for the region of interest. The vessel centers are then aggregated to form the central curve of the vessel. For each of the points along the central curve, the volumetric data is processed to generate a target image slice (TISL) which is perpendicular to the curve at that point. Because of the optimal orientation, the TISL image yields good dimensions for the vessel at that point. Organizing the TISL images linearly as a target image stack (TIST) forms a straightened longitudinal version of the vessel, and the TIST longitudinal cross-section produces a good anatomic structure relation image. Secondly, a proposed dual snake model is then used to simultaneously detect the inner and outer vessel wall borders for each TISL. The automatic initialization of the deformable model is achieved by integrating detected vessel boundaries on four TIST longitudinal images based on a minimum cost path method. For validation, vessel diameter and area determined automatically by the proposed method were compared with those defined manually by experts and by corresponding conventional angiography (r = 0.9160 ∼ 0.9740, p < 0.0001). The proposed method achieved sub-pixel accuracy. The entire process is computationally fast and simple. The proposed system (methodology) could provide a fast and reliable clinical tool for physicians in the diagnosis and treatment planning of coronary diseases.

原文English
頁(從 - 到)165-171
頁數7
期刊Journal of Medical and Biological Engineering
27
發行號4
出版狀態Published - 2007 十二月 1

All Science Journal Classification (ASJC) codes

  • 生物醫學工程

指紋

深入研究「Dual snake-based vessel wall detection for MSCT coronary artery analysis」主題。共同形成了獨特的指紋。

引用此