A novel ultrasound-based registration approach for image-guided laparoscopic ablation of liver lesions

Fusaglia, Matteo; Tinguely, Pascale Marie-Pia; Banz Wüthrich, Vanessa; Weber, Stefan; Lu, Huanxiang (September 2015). A novel ultrasound-based registration approach for image-guided laparoscopic ablation of liver lesions. In: CURAC 2015 Tagungsband : 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (pp. 77-82). Bremen: Fraunhofer MEVIS

In this work we present a novel registration approach for laparoscopic liver surgery. The proposed method reconstructs in real-time an intraoperative volume of the underlying vessels through an ultrasound sweep process and register to a preoperative CT model. An existing IGS system for open liver procedure was adapted with suitable instrument tracking for laparoscopic equipment. Registration accuracy was evaluated on a realistic phantom by computing the target registration error (TRE) at five tumours. The proposed registration method achieved an average TRE of 8.5mm in the left lobe and 9.7 mm in the right lobe. The average time required for performing the registration was 12 minutes. We believe that the proposed method is a significant step towards the use of navigation systems in the clinical routine.

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 > Visceral Surgery
04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Visceral Surgery and Medicine

UniBE Contributor:

Fusaglia, Matteo; Tinguely, Pascale Marie-Pia; Banz Wüthrich, Vanessa; Weber, Stefan and Lu, Huanxiang

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 16:10

Last Modified:

19 Dec 2016 16:10

URI:

https://boris.unibe.ch/id/eprint/91462

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