Authors: | Chen, S.; Lovelock, D. M.; Radke Richard J, R. J. |
Article Title: | Segmenting the prostate and rectum in CT imagery using anatomical constraints |
Abstract: | The automatic segmentation of the prostate and rectum from 3D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy applications. We present a new, automatic segmentation algorithm based on deformable organ models built from previously segmented training data. The major contributions of this work are a new segmentation cost function based on a Bayesian framework that incorporates anatomical constraints from surrounding bones and a new appearance model that learns a nonparametric distribution of the intensity histograms inside and outside organ contours. We report segmentation results on 185 datasets of the prostate site, demonstrating improved performance over previous models. © 2010 Elsevier B.V. |
Keywords: | clinical article; three dimensional; intensity modulated radiation therapy; treatment planning; cancer radiotherapy; radiation dose; pelvis; computer assisted tomography; radiotherapy; prostate cancer; prostate; computerized tomography; three dimensional imaging; segmentation; model; deformation; rectum; deformable segmentation; image-guided radiation therapy; prostate and rectum; shape and appearance model; image segmentation; imagery |
Journal Title: | Medical Image Analysis |
Volume: | 15 |
Issue: | 1 |
ISSN: | 1361-8415 |
Publisher: | Elsevier Science, Inc. |
Date Published: | 2011-02-01 |
Start Page: | 1 |
End Page: | 11 |
Language: | English |
DOI: | 10.1016/j.media.2010.06.004 |
PROVIDER: | scopus |
PUBMED: | 20634121 |
DOI/URL: | |
Notes: | --- - "Export Date: 4 March 2011" - "CODEN: MIAEC" - "Source: Scopus" |