3D prostate boundary segmentation from ultrasound rmages using 2D active shape models

被引:0
|
作者
Hodge, Adam C. [1 ]
Ladak, Hanif M. [2 ]
机构
[1] Univ Western Ontario, Dept Med Biophys, London, ON N6A 5C1, Canada
[2] Univ Western Ontario, Dept Med Biophys, Dept Elect & Comp Engn, London, ON N6A 5C1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Boundary outlining, or segmentation, of the prostate is an important task in diagnosis and treatment planning for prostate cancer. This paper describes an algorithm for semi-automatic, three-dimensional (3D) segmentation of the prostate boundary from ultrasound images based on two-dimensional (2D) active shape models (ASM) and rotation-based slicing. Evaluation of the algorithm used distance- and volume-based error metrics to compare algorithm generated boundary outlines to gold standard (manually generated) boundary outlines. The mean absolute distance between the algorithm and gold standard boundaries was 1.09 +/- 0.49 mm, the average percent absolute volume difference was 3.28 +/- 3.16%, and a 5x speed increase as compared manual planimetry was achieved.
引用
收藏
页码:1662 / +
页数:2
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