会议专题

C-arm Pose Estimation in Prostate Brachytherapy by Registration to Ultrasound

In prostate brachytherapy, transrectal ultrasound (TRUS) is used to visualize the anatomy, while implanted seeds can be seen in C-arm fluoroscopy. Intra-operative dosimetry optimization requires reconstruction of the implanted seeds from multiple C-arm fluoroscopy images, which in turn requires estimation of the C-arm poses. We estimate the pose of the C-arm by two-stage registration between the 2D fluoroscopy images to a 3D TRUS volume. As single-view 2D/3D registration tends to yield depth error, we first estimate the depth from multiple 2D fluoro images and input this to a single-view 2D/3D registration. A commercial phantom was implanted with seeds and imaged with TRUS and CT. Ground-truth registration was established between the two by radiographic fiducials. Synthetic ground-truth fluoro images were created from the CT volume and registered to the 3D TRUS. The average rotation and translation errors were 1.0° (STD=2.3°) and 0.7mm (STD=1.9 mm), respectively. In data from a human patient, the average rotation and lateral translation errors were 0.6° (STD=3.0°) and 1.5 mm (STD=2.8 mm), respectively, relative to the ground-truth established by a radiographic fiducial. Fully automated image-based C-arm pose estimation was demonstrated in prostate brachytherapy. Accuracy and robustness was excellent on phantom. Early result in human patient data appears clinically adequate.

Pascal Fallavollita Clif Burdette Danny Song Purang Abolmaesumi Gabor Fichtinger

Queen’s University, Canada Acoustic MedSystems Inc., Illinois, USA Johns Hopkins Hospital, Baltimore, USA University of British Columbia, Canada

国际会议

The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

北京

英文

311–318

2010-09-01(万方平台首次上网日期,不代表论文的发表时间)