Distinguishing between Classes of Benign Prostatic Hyperplasia using MR Images

Seok Ang; Philip Allen; James Graham; Charles Hutchinson

Distinguishing between Classes of Benign Prostatic Hyperplasia using MR Images

Seok Ang, Philip Allen, James Graham, Charles Hutchinson

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

Abstract

Benign Prostatic Hyperplasia has two histologically distinct components. It is important to identify which of the two is predominant, as this influences treatment. The two forms can be distinguished radiologically on MR images using a number of visual and semi-quantitative cues. In this paper we investigate the use of texture features based on co-occurrence histograms to provide a quantitative assessment of the tissue type. We show that appropriate texture measures associate strongly with radiological classification based on published criteria.

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	231-235
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{c7ea11f581ee4f65bc0d385315015d26,

title = "Distinguishing between Classes of Benign Prostatic Hyperplasia using MR Images",

abstract = "Benign Prostatic Hyperplasia has two histologically distinct components. It is important to identify which of the two is predominant, as this influences treatment. The two forms can be distinguished radiologically on MR images using a number of visual and semi-quantitative cues. In this paper we investigate the use of texture features based on co-occurrence histograms to provide a quantitative assessment of the tissue type. We show that appropriate texture measures associate strongly with radiological classification based on published criteria.",

author = "Seok Ang and Philip Allen and James Graham and Charles Hutchinson",

year = "2006",

month = jul,

language = "English",

isbn = "1 901727 31 6",

pages = "231--235",

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",

}

Ang, S, Allen, P, Graham, J & Hutchinson, C 2006, Distinguishing between Classes of Benign Prostatic Hyperplasia using MR Images. in J Graham, N Thacker & T Cootes (eds), Proceedings of Medical Image Understanding and Analysis. BMVA Press, Manchester, UK, pp. 231-235, Medical Image Understanding and Analysis, University of Manchester, 4/07/06. <http://www.miua.org.uk>

Distinguishing between Classes of Benign Prostatic Hyperplasia using MR Images. / Ang, Seok; Allen, Philip; Graham, James et al.
Proceedings of Medical Image Understanding and Analysis. ed. / James Graham; Neil Thacker; Timothy Cootes. Manchester, UK: BMVA Press, 2006. p. 231-235.

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

TY - GEN

T1 - Distinguishing between Classes of Benign Prostatic Hyperplasia using MR Images

AU - Ang, Seok

AU - Allen, Philip

AU - Graham, James

AU - Hutchinson, Charles

PY - 2006/7

Y1 - 2006/7

N2 - Benign Prostatic Hyperplasia has two histologically distinct components. It is important to identify which of the two is predominant, as this influences treatment. The two forms can be distinguished radiologically on MR images using a number of visual and semi-quantitative cues. In this paper we investigate the use of texture features based on co-occurrence histograms to provide a quantitative assessment of the tissue type. We show that appropriate texture measures associate strongly with radiological classification based on published criteria.

AB - Benign Prostatic Hyperplasia has two histologically distinct components. It is important to identify which of the two is predominant, as this influences treatment. The two forms can be distinguished radiologically on MR images using a number of visual and semi-quantitative cues. In this paper we investigate the use of texture features based on co-occurrence histograms to provide a quantitative assessment of the tissue type. We show that appropriate texture measures associate strongly with radiological classification based on published criteria.

M3 - Conference contribution

SN - 1 901727 31 6

SP - 231

EP - 235

BT - Proceedings of Medical Image Understanding and Analysis

A2 - Graham, James

A2 - Thacker, Neil

A2 - Cootes, Timothy

PB - BMVA Press

CY - Manchester, UK

T2 - Medical Image Understanding and Analysis

Y2 - 4 July 2006 through 5 July 2006

ER -

Distinguishing between Classes of Benign Prostatic Hyperplasia using MR Images

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