Title :
3D Prostate Boundary Segmentation From Ultrasound Images Using 2D Active Shape Models
Author :
Hodge, Adam C. ; Ladak, Hanif M.
Author_Institution :
Dept. of Med. Biophys., Univ. of Western Ontario, London, Ont.
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
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 1.09plusmn0.49 mm, the average percent absolute volume difference was 3.28plusmn3.16%, and a 5x speed increase as compared manual planimetry was achieved
Keywords :
biological organs; biomedical ultrasonics; cancer; image segmentation; medical image processing; shape measurement; tumours; 2D active shape models; 3D prostate boundary segmentation; distance-based error metrics; manual planimetry; prostate cancer diagnosis; rotation-based slicing; treatment planning; ultrasound images; volume-based error metrics; Active shape model; Biomedical imaging; Cities and towns; Gold; Image segmentation; Labeling; Principal component analysis; Prostate cancer; USA Councils; Ultrasonic imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260668
