Prostate Segmentation in MR Images using 3D Shape Model Constratined Voxel Classificattion

James Graham; Neil Thacker; Timothy Cootes

Prostate Segmentation in MR Images using 3D Shape Model Constratined Voxel Classificattion

James Graham (Editor), Neil Thacker (Editor), Timothy Cootes (Editor)

Division of Informatics, Imaging & Data Sciences (L5)

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of Medical Image Understanding and Analysis
Editors	James Graham, Neil Thacker, Timothy Cootes
Place of Publication	Manchester, UK
Publisher	BMVA Press
Pages	166-170
Number of pages	5
ISBN (Print)	1 901727 31 6
Publication status	Published - Jul 2006
Event	Medical Image Understanding and Analysis - University of Manchester Duration: 4 Jul 2006 → 5 Jul 2006

Conference

Conference	Medical Image Understanding and Analysis
City	University of Manchester
Period	4/07/06 → 5/07/06

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@inproceedings{64ac772b065f435cb04b6e92bfb88e32,

title = "Prostate Segmentation in MR Images using 3D Shape Model Constratined Voxel Classificattion",

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{\textquoteright}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.",

author = "James Graham and Neil Thacker and Timothy Cootes",

year = "2006",

month = jul,

language = "English",

isbn = "1 901727 31 6",

pages = "166--170",

editor = "James Graham and Neil Thacker and Timothy Cootes",

booktitle = "Proceedings of Medical Image Understanding and Analysis",

publisher = "BMVA Press",

address = "United Kingdom",

note = "Medical Image Understanding and Analysis ; Conference date: 04-07-2006 Through 05-07-2006",

}

Graham, J, Thacker, N & Cootes, T (eds) 2006, Prostate Segmentation in MR Images using 3D Shape Model Constratined Voxel Classificattion. in J Graham, N Thacker & T Cootes (eds), Proceedings of Medical Image Understanding and Analysis. BMVA Press, Manchester, UK, pp. 166-170, Medical Image Understanding and Analysis, University of Manchester, 4/07/06. <http://www.miua.org.uk>

Prostate Segmentation in MR Images using 3D Shape Model Constratined Voxel Classificattion. / Graham, James (Editor); Thacker, Neil (Editor); Cootes, Timothy (Editor).
Proceedings of Medical Image Understanding and Analysis. ed. / James Graham; Neil Thacker; Timothy Cootes. Manchester, UK: BMVA Press, 2006. p. 166-170.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Prostate Segmentation in MR Images using 3D Shape Model Constratined Voxel Classificattion

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A2 - Thacker, Neil

A2 - Cootes, Timothy

A2 - Graham, James

A2 - Thacker, Neil

A2 - Cootes, Timothy

PY - 2006/7

Y1 - 2006/7

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 1 901727 31 6

SP - 166

EP - 170

BT - Proceedings of Medical Image Understanding and Analysis

PB - BMVA Press

CY - Manchester, UK

T2 - Medical Image Understanding and Analysis

Y2 - 4 July 2006 through 5 July 2006

ER -

Prostate Segmentation in MR Images using 3D Shape Model Constratined Voxel Classificattion

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