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.

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

2337

Lastpage

2340

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.260668

Filename

4462261