Clinical Validation of Ultrasound to CT Registration for Image-Guided Liver Surgery

Lu, Huanxiang; Ribes, Delphine; Peterhans, Matthias; Banz Wüthrich, Vanessa; Tinguely, Pascale Marie-Pia; Kim-Fuchs, Corina; Candinas, Daniel; Weber, Stefan (September 2015). Clinical Validation of Ultrasound to CT Registration for Image-Guided Liver Surgery. In: CURAC 2015 Tagungsband : 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (pp. 245-246). Bremen: Fraunhofer MEVIS

We present in this paper the clinical validation of a robust and fast ultrasound (US) to computed tomography (CT) registration workflow for open liver surgery. A clinical trial (n=13) in which the surgeon autonomously performed the intraoperative image acquisition and registration workflow was carried out to investigate the accuracy and efficiency. The obtained accuracy was reported to be 6.2 ± 1.5 mm within the recorded 3D ultrasound volumes, thus indicating sufficient accuracy of the subsequent image guidance. Time requirements for the complete registration workflow were reported to be 120 ± 30 seconds, suggesting minimal disruptions to the existing surgical workflow.

Item Type:

Conference or Workshop Item (Abstract)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Image Guided Therapy
04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Visceral Surgery and Medicine
04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Visceral Surgery and Medicine > Visceral Surgery

UniBE Contributor:

Lu, Huanxiang; Ribes, Delphine; Peterhans, Matthias; Banz Wüthrich, Vanessa; Tinguely, Pascale Marie-Pia; Kim-Fuchs, Corina; Candinas, Daniel and Weber, Stefan

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISBN:

978-3-00-050359-7

Publisher:

Fraunhofer MEVIS

Language:

English

Submitter:

Lars Marius Schwalbe

Date Deposited:

19 Dec 2016 15:55

Last Modified:

19 Dec 2016 16:03

URI:

https://boris.unibe.ch/id/eprint/91464

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