Endoscopic Image Overlay for the Targeting of Hidden Anatomy in Laparoscopic Visceral Surgery

Fusaglia, Matteo; Gavaghan, Kate; Beldi, Guido; Volonté, Francesco; Pugin, François; Peterhans, Matthias; Buchs, Nicolas; Weber, Stefan (2013). Endoscopic Image Overlay for the Targeting of Hidden Anatomy in Laparoscopic Visceral Surgery. In: Linte, Cristian A.; Chen, Elvis C. S.; Berger, Marie-Odile; Moore, John T.; Holmes III, David R. (eds.) Augmented Environments for Computer-Assisted Interventions.7th International Workshop, AE-CAI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2013, Revised Selected Papers. Lecture Notes in Computer Science: Vol. 7815 (pp. 9-21). Berlin, Heidelberg: Springer Berlin Heidelberg 10.1007/978-3-642-38085-3_3

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Limitations associated with the visual information provided to surgeons during laparoscopic surgery increases the difficulty of procedures and thus, reduces clinical indications and increases training time. This work presents a novel augmented reality visualization approach that aims to improve visual data supplied for the targeting of non visible anatomical structures in laparoscopic visceral surgery. The approach aims to facilitate the localisation of hidden structures with minimal damage to surrounding structures and with minimal training requirements. The proposed augmented reality visualization approach incorporates endoscopic images overlaid with virtual 3D models of underlying critical structures in addition to targeting and depth information pertaining to targeted structures. Image overlay was achieved through the implementation of camera calibration techniques and integration of the optically tracked endoscope into an existing image guidance system for liver surgery. The approach was validated in accuracy, clinical integration and targeting experiments. Accuracy of the overlay was found to have a mean value of 3.5 mm ± 1.9 mm and 92.7% of targets within a liver phantom were successfully located laparoscopically by non trained subjects using the approach.

Item Type:

Book Section (Book Chapter)

Division/Institute:

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

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Fusaglia, Matteo; Gavaghan, Kate; Beldi, Guido; Peterhans, Matthias and Weber, Stefan

Subjects:

600 Technology > 610 Medicine & health

ISBN:

978-3-642-38084-6

Series:

Lecture Notes in Computer Science

Publisher:

Springer Berlin Heidelberg

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:39

Last Modified:

13 Jan 2016 08:49

Publisher DOI:

10.1007/978-3-642-38085-3_3

URI:

https://boris.unibe.ch/id/eprint/15788 (FactScience: 223241)

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