Automatic segmentation of intra-treatment CT images for adaptive radiation therapy of the prostate.
Med Image Comput Comput Assist Interv
; 8(Pt 1): 442-50, 2005.
Article
in En
| MEDLINE
| ID: mdl-16685876
ABSTRACT
We have been developing an approach for automatically quantifying organ motion for adaptive radiation therapy of the prostate. Our approach is based on deformable image registration, which makes it possible to establish a correspondence between points in images taken on different days. This correspondence can be used to study organ motion and to accumulate inter-fraction dose. In prostate images, however, the presence of bowel gas can cause significant correspondence errors. To account for this problem, we have developed a novel method that combines large deformation image registration with a bowel gas segmentation and deflation algorithm. In this paper, we describe our approach and present a study of its accuracy for adaptive radiation therapy of the prostate. All experiments are carried out on 3-dimensional CT images.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Prostatic Neoplasms
/
Radiotherapy, Computer-Assisted
/
Pattern Recognition, Automated
/
Radiographic Image Interpretation, Computer-Assisted
/
Tomography, X-Ray Computed
/
Imaging, Three-Dimensional
Type of study:
Diagnostic_studies
Limits:
Humans
/
Male
Language:
En
Journal:
Med Image Comput Comput Assist Interv
Journal subject:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
Year:
2005
Document type:
Article
Affiliation country:
United States