Differential segmentation of the prostate in MR images using combined 3D shape modelling and voxel classification

Author

Allen, P.D. ; Graham, J. ; Williamson, D.C. ; Hutchinson, C.E.

Author_Institution

ISBE, Manchester Univ.

fYear

2006

fDate

6-9 April 2006

Firstpage

410

Lastpage

413

Abstract

Benign prostatic hyperplasia (BPH) is a non-cancerous expansion of the prostate, the progress of which can be quantified by measuring the relative volumes of the prostate´s peripheral zone and central gland. Here we describe a method of automatic segmentation of both regions of the prostate from MR images using a combination of grey-level voxel classification and 3D statistical shape modelling

Keywords

biomedical MRI; image classification; image segmentation; medical image processing; statistical analysis; 3D shape modelling; 3D statistical shape modelling; MR images; benign prostatic hyperplasia; differential prostate segmentation; grey-level voxel classification; noncancerous prostate expansion; prostate central gland; prostate peripheral zone; Aging; Character generation; Costs; Drugs; Glands; Image segmentation; Magnetic resonance imaging; Shape measurement; Surgery; Volume measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-9576-X

Type

conf

DOI

10.1109/ISBI.2006.1624940

Filename

1624940

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1815533