TY - GEN
T1 - Combining B-mode and color flow vessel segmentation for registration of hepatic CT and ultrasound volumes
AU - Keil, Matthias
AU - Oyarzun Laura, Cristina
AU - Drechsler, Klaus
AU - Wesarg, Stefan
PY - 2012
Y1 - 2012
N2 - Multimodal registration of intraoperative ultrasound and preoperative computed tomography imaging is the basis for percutaneous hepatic interventions. Currently, a rigid registration is performed manually by the surgeon using vessel structures and other anatomical landmarks for visual guidance. In this work our approach for intraoperative vessel segmentation from two ultrasound imaging modes, namely B-Mode and color flow mode, is presented. This segmentation is an important step for automation of the intraoperative registration which relies on vessel structures visible in contrast enhanced CT and ultrasound volumes. This paper describes the problems that arise when using B-mode ultrasound for segmentation of vessels and how they can be solved by introducing additional vessel information from color flow imaging. On a total number of 21 patients, our system was applied successfully in 15 cases. For nine randomly chosen patients studied in this paper, our system achieves a 3.45 mm accuracy at points used for registration and 5.01 mm for other landmarks which were not used for the registration process.
AB - Multimodal registration of intraoperative ultrasound and preoperative computed tomography imaging is the basis for percutaneous hepatic interventions. Currently, a rigid registration is performed manually by the surgeon using vessel structures and other anatomical landmarks for visual guidance. In this work our approach for intraoperative vessel segmentation from two ultrasound imaging modes, namely B-Mode and color flow mode, is presented. This segmentation is an important step for automation of the intraoperative registration which relies on vessel structures visible in contrast enhanced CT and ultrasound volumes. This paper describes the problems that arise when using B-mode ultrasound for segmentation of vessels and how they can be solved by introducing additional vessel information from color flow imaging. On a total number of 21 patients, our system was applied successfully in 15 cases. For nine randomly chosen patients studied in this paper, our system achieves a 3.45 mm accuracy at points used for registration and 5.01 mm for other landmarks which were not used for the registration process.
UR - http://www.scopus.com/inward/record.url?scp=84887457803&partnerID=8YFLogxK
U2 - 10.2312/VCBM/VCBM12/057-064
DO - 10.2312/VCBM/VCBM12/057-064
M3 - Conference contribution
AN - SCOPUS:84887457803
SN - 9783905674385
T3 - EG VCBM 2012 - Eurographics Workshop on Visual Computing for Biology and Medicine
SP - 57
EP - 64
BT - EG VCBM 2012 - Eurographics Workshop on Visual Computing for Biology and Medicine
T2 - 3rd Eurographics Workshop on VisualComputing in Biology and Medicine, EG VCBM 2012
Y2 - 27 September 2012 through 28 September 2012
ER -