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

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

doi:10.1109/ISBI.2006.1624940

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

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

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. © 2006 IEEE.

Original language	English
Title of host publication	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings\|IEEE Int. Symp. Biomed. Imag. Nano Macro Proc.
Publisher	IEEE
Pages	410-413
Number of pages	3
Volume	2006
ISBN (Print)	0780395778, 9780780395770
DOIs	https://doi.org/10.1109/ISBI.2006.1624940
Publication status	Published - 2006
Event	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA Duration: 1 Jul 2006 → …

Conference

Conference	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
City	Arlington, VA
Period	1/07/06 → …

Access to Document

10.1109/ISBI.2006.1624940

Cite this

Allen, P. D., Graham, J., Williamson, D. C., & Hutchinson, C. E. (2006). Differential segmentation of the prostate in MR images using combined 3D shape modelling and voxel classification. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings|IEEE Int. Symp. Biomed. Imag. Nano Macro Proc. (Vol. 2006, pp. 410-413). IEEE. https://doi.org/10.1109/ISBI.2006.1624940

@inproceedings{d2e9e26de09c40439cd97f7cc07ac644,

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

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. {\textcopyright} 2006 IEEE.",

author = "Allen, \{P. D.\} and J. Graham and Williamson, \{D. C.\} and Hutchinson, \{C. E.\}",

year = "2006",

doi = "10.1109/ISBI.2006.1624940",

language = "English",

isbn = "0780395778",

volume = "2006",

pages = "410--413",

booktitle = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings|IEEE Int. Symp. Biomed. Imag. Nano Macro Proc.",

publisher = "IEEE",

address = "United States",

note = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro ; Conference date: 01-07-2006",

}

Allen, PD, Graham, J, Williamson, DC & Hutchinson, CE 2006, Differential segmentation of the prostate in MR images using combined 3D shape modelling and voxel classification. in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings|IEEE Int. Symp. Biomed. Imag. Nano Macro Proc.. vol. 2006, IEEE, pp. 410-413, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, 1/07/06. https://doi.org/10.1109/ISBI.2006.1624940

Differential segmentation of the prostate in MR images using combined 3D shape modelling and voxel classification. / Allen, P. D.; Graham, J.; Williamson, D. C. et al.
2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings|IEEE Int. Symp. Biomed. Imag. Nano Macro Proc.. Vol. 2006 IEEE, 2006. p. 410-413.

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

TY - GEN

T1 - Differential segmentation of the prostate in MR images using combined 3D shape modelling and voxel classification

AU - Allen, P. D.

AU - Graham, J.

AU - Williamson, D. C.

AU - Hutchinson, C. E.

PY - 2006

Y1 - 2006

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. © 2006 IEEE.

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. © 2006 IEEE.

UR - https://www.scopus.com/pages/publications/33750955662

U2 - 10.1109/ISBI.2006.1624940

DO - 10.1109/ISBI.2006.1624940

M3 - Conference contribution

SN - 0780395778

SN - 9780780395770

VL - 2006

SP - 410

EP - 413

BT - 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings|IEEE Int. Symp. Biomed. Imag. Nano Macro Proc.

PB - IEEE

T2 - 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro

Y2 - 1 July 2006

ER -

Allen PD, Graham J, Williamson DC, Hutchinson CE. Differential segmentation of the prostate in MR images using combined 3D shape modelling and voxel classification. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings|IEEE Int. Symp. Biomed. Imag. Nano Macro Proc.. Vol. 2006. IEEE. 2006. p. 410-413 doi: 10.1109/ISBI.2006.1624940

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

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this