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Ultrasound B-mode segmentation for registration with CT in percutaneous hepatic interventions

: Keil, Matthias; Oyarzun Laura, Cristina; Wesarg, Stefan


Drechsler, Klaus (Ed.); Erdt, Marius (Ed.); Linguraru, Marius George (Ed.); Oyarzun Laura, Cristina (Ed.); Sharma, Karun (Ed.); Shekhar, Raj (Ed.); Wesarg, Stefan (Ed.):
Clinical image-based procedures. From planning to intervention : International Workshop, CLIP 2012, held in conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers
Berlin: Springer, 2013 (Lecture Notes in Computer Science 7761)
DOI: 10.1007/978-3-642-38079-2
ISBN: 978-3-642-38078-5 (Print)
ISBN: 978-3-642-38079-2 (Online)
ISSN: 0302-9743
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) <15, 2012, Nice>
International Workshop on Clinical Image-Based Procedures (CLIP) <1, 2012, Nice>
Fraunhofer IGD ()
Lead Topic: Individual Health; Research Line: Computer vision (CV); image segmentation; liver; ultrasound; image registration; Graph matching

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 we are presenting our approach for automation of this intraoperative registration step. Our method relies on the vessel structures visible in contrast enhanced CT and ultrasound B-Mode volumes. Therefore, an important part of this work is the intraoperative segmentation of vessel structures from ultrasound. For the nine randomly chosen patients studied in this paper, our system achieves a 3.45 mm accuracy for the points used for registration (target registration error (TRE)) and 5.01 mm for other landmarks which were not used for the registration process (fiducial registration error (FRE)). Of a total number of 27 patients, our system worked successfully in 15 cases.