Share Email Print
cover

Proceedings Paper

How to identify rectal sub-regions likely involved in rectal bleeding in prostate cancer radiotherapy
Author(s): G. Dréan; O. Acosta; J. D. Ospina; C. Voisin; B. Rigaud; A. Simon; P. Haigron; R. de Crevoisier
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Nowadays, the de nition of patient-speci c constraints in prostate cancer radiotherapy planning are solely based on dose-volume histogram (DVH) parameters. Nevertheless those DVH models lack of spatial accuracy since they do not use the complete 3D information of the dose distribution. The goal of the study was to propose an automatic work ow to de ne patient-speci c rectal sub-regions (RSR) involved in rectal bleeding (RB) in case of prostate cancer radiotherapy. A multi-atlas database spanning the large rectal shape variability was built from a population of 116 individuals. Non-rigid registration followed by voxel-wise statistical analysis on those templates allowed nding RSR likely correlated with RB (from a learning cohort of 63 patients). To de ne patient-speci c RSR, weighted atlas-based segmentation with a vote was then applied to 30 test patients. Results show the potentiality of the method to be used for patient-speci c planning of intensity modulated radiotherapy (IMRT).

Paper Details

Date Published: 19 November 2013
PDF: 9 pages
Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220L (19 November 2013); doi: 10.1117/12.2035238
Show Author Affiliations
G. Dréan, INSERM (France)
Lab. de Traitement du Signal et de l'Image, CNRS, Univ. de Rennes 1 (France)
O. Acosta, INSERM (France)
Lab. de Traitement du Signal et de l'Image, CNRS, Univ. de Rennes 1 (France)
J. D. Ospina, INSERM (France)
Lab. de Traitement du Signal et de l'Image, CNRS, Univ. de Rennes 1 (France)
Univ. Nacional de Colombia (Columbia)
C. Voisin, INSERM (France)
Lab. de Traitement du Signal et de l'Image, CNRS, Univ. de Rennes 1 (France)
B. Rigaud, INSERM (France)
Lab. de Traitement du Signal et de l'Image, CNRS, Univ. de Rennes 1 (France)
A. Simon, INSERM (France)
Lab. de Traitement du Signal et de l'Image, CNRS, Univ. de Rennes 1 (France)
P. Haigron, INSERM (France)
Lab. de Traitement du Signal et de l'Image, CNRS, Univ. de Rennes 1 (France)
R. de Crevoisier, INSERM (France)
Lab. de Traitement du Signal et de l'Image, CNRS, Univ. de Rennes 1 (France)
Ctr. Eugène Marquis (France)


Published in SPIE Proceedings Vol. 8922:
IX International Seminar on Medical Information Processing and Analysis
Jorge Brieva; Boris Escalante-Ramírez, Editor(s)

© SPIE. Terms of Use
Back to Top