TY - GEN
T1 - Learning-based prostate localization for image guided radiation therapy
AU - Zhou, Luping
AU - Liao, Shu
AU - Li, Wei
AU - Shen, Dinggang
PY - 2011
Y1 - 2011
N2 - Accurate prostate localization is the key to the success of radiotherapy. It remains a difficult problem for CT images due to the low image contrast, the prostate motion, and the uncertain presence of rectum gas. In this paper, a learning based framework is proposed to improve the accuracy of prostate detection in CT. It adaptively determines distinctive feature types at distinctive image regions, thus filtering out features that are salient in image appearance, but irrelevant to prostate localization. Furthermore, an image similarity function is learned to make the image appearance distance consistent with the underlying prostate alignment. The efficacy of our proposed method has been demonstrated by the experiment.
AB - Accurate prostate localization is the key to the success of radiotherapy. It remains a difficult problem for CT images due to the low image contrast, the prostate motion, and the uncertain presence of rectum gas. In this paper, a learning based framework is proposed to improve the accuracy of prostate detection in CT. It adaptively determines distinctive feature types at distinctive image regions, thus filtering out features that are salient in image appearance, but irrelevant to prostate localization. Furthermore, an image similarity function is learned to make the image appearance distance consistent with the underlying prostate alignment. The efficacy of our proposed method has been demonstrated by the experiment.
KW - Feature Selection
KW - IGRT
KW - Image Similarity Learning
KW - Prostate Localization
UR - http://www.scopus.com/inward/record.url?scp=80053495849&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872827
DO - 10.1109/ISBI.2011.5872827
M3 - Conference contribution
AN - SCOPUS:80053495849
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 2103
EP - 2106
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Y2 - 30 March 2011 through 2 April 2011
ER -