Automatic co-registration of volumetric images based on implanted fiducial markers
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Automatic co-registration of volumetric images based on implanted fiducial markers. / Koch, Martin; Maltz, Jonathan S.; Gangadharan, Bijumon; Bose, Supratik; Shukla, Himanshu; Bani-Hashemi, Ali R.; Belongie, Serge J.
In: 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, 2008, p. 1171-1174.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - Automatic co-registration of volumetric images based on implanted fiducial markers
AU - Koch, Martin
AU - Maltz, Jonathan S.
AU - Gangadharan, Bijumon
AU - Bose, Supratik
AU - Shukla, Himanshu
AU - Bani-Hashemi, Ali R.
AU - Belongie, Serge J.
PY - 2008
Y1 - 2008
N2 - The accurate delivery of external beam radiation therapy is often facilitated through the implantation of radio-opaque fiducial markers (seeds). Before the delivery of each treatment fraction, seed positions can be determined via volumetric imaging. By registering these seed locations with the corresponding locations in the previously acquired treatment planning CT, it is possible to adjust the patient position or the treatment plan so that seed displacement is accommodated. We present an automatic algorithm that identifies seeds in both planning and pretreatment images and subsequently determines the geometric transformation between the two sets. The algorithm is applied to the imaging series of 10 prostate cancer patients. Each series is comprised of a single multislice planning CT and several megavoltage conebeam CT images obtained immediately prior to a subsequent treatment session. Seed locations were determined for 164 images to within 1mm with an accuracy of 98 ± 6.3%.
AB - The accurate delivery of external beam radiation therapy is often facilitated through the implantation of radio-opaque fiducial markers (seeds). Before the delivery of each treatment fraction, seed positions can be determined via volumetric imaging. By registering these seed locations with the corresponding locations in the previously acquired treatment planning CT, it is possible to adjust the patient position or the treatment plan so that seed displacement is accommodated. We present an automatic algorithm that identifies seeds in both planning and pretreatment images and subsequently determines the geometric transformation between the two sets. The algorithm is applied to the imaging series of 10 prostate cancer patients. Each series is comprised of a single multislice planning CT and several megavoltage conebeam CT images obtained immediately prior to a subsequent treatment session. Seed locations were determined for 164 images to within 1mm with an accuracy of 98 ± 6.3%.
KW - Image registration
KW - Pattern recognition
KW - X-ray imaging
U2 - 10.1109/ISBI.2008.4541210
DO - 10.1109/ISBI.2008.4541210
M3 - Conference article
AN - SCOPUS:51049096769
SP - 1171
EP - 1174
JO - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
JF - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
T2 - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Y2 - 14 May 2008 through 17 May 2008
ER -
ID: 302051076