CoroEval: a multi-platform, multi-modality tool for the evaluation of 3D coronary vessel reconstructions

被引:13
|
作者
Schwemmer, C. [1 ,2 ]
Forman, C. [1 ,2 ]
Wetzl, J. [1 ,2 ]
Maier, A. [1 ,2 ]
Hornegger, J. [1 ,2 ]
机构
[1] Univ Erlangen Nurnberg, Dept Comp Sci, Pattern Recognit Lab, D-91058 Erlangen, Germany
[2] Erlangen Grad Sch Adv Opt Technol SAOT, D-91052 Erlangen, Germany
来源
PHYSICS IN MEDICINE AND BIOLOGY | 2014年 / 59卷 / 17期
关键词
medical imaging; coronary vessels; evaluation; software; FILTERED BACK-PROJECTION; CARDIAC VASCULATURE; MOTION COMPENSATION; SEGMENTATION; ALGORITHMS; TRACKING; ARTERIES;
D O I
10.1088/0031-9155/59/17/5163
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
We present a software, called CoroEval, for the evaluation of 3D coronary vessel reconstructions from clinical data. It runs on multiple operating systems and is designed to be independent of the imaging modality used. At this point, its purpose is the comparison of reconstruction algorithms or acquisition protocols, not the clinical diagnosis. Implemented metrics are vessel sharpness and diameter. All measurements are taken from the raw intensity data to be independent of display windowing functions. The user can either import a vessel centreline segmentation from other software, or perform a manual segmentation in CoroEval. An automated segmentation correction algorithm is provided to improve non-perfect centrelines. With default settings, measurements are taken at 1 mm intervals along the vessel centreline and from 10 different angles at each measurement point. This allows for outlier detection and noise-robust measurements without the burden and subjectivity a manual measurement process would incur. Graphical measurement results can be directly exported to vector or bitmap graphics for integration into scientific publications. Centreline and lumen segmentations can be exported as point clouds and in various mesh formats. We evaluated the diameter measurement process using three phantom datasets. An average deviation of 0.03 +/- 0.03 mm was found.
引用
收藏
页码:5163 / 5174
页数:12
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