Augmented reality assisted laparoscopic partial nephrectomy
Book Item (Buchkapitel, Lexikonartikel, jur. Kommentierung, Beiträge in Sammelbänden)
ID 2846055
Author(s) Schneider, Adrian; Pezold, Simon; Sauer, Andreas; Ebbing, Jan; Wyler, Stephen; Rosenthal, Rachel; Cattin, Philippe C.
Author(s) at UniBasel Cattin, Philippe Claude
Year 2014
Title Augmented reality assisted laparoscopic partial nephrectomy
Editor(s) Golland, P; Hata, N; Barillot, C; Hornegger, J; Howe, R
Book title Medical image computing and computer-assisted intervention – MICCAI 2014 : 17th International Conference, Boston, MA, USA, September 14-18, 2014 ; Proceedings
Volume 2
Publisher Springer
Place of publication Cham
Pages 357-364
ISSN/ISBN 0302-9743 ; 1611-3349 ; 978-3-319-10469-0 ; 978-3-319-10470-6
Series title Lecture Notes in Computer Science book series (LNCS)
Number 8674
Mesh terms Animals; Equipment Design; Equipment Failure Analysis; Image Interpretation, Computer-Assisted, methods; Kidney, surgery; Laparoscopes; Magnetics, instrumentation; Nephrectomy, instrumentation; Reproducibility of Results; Sensitivity and Specificity; Surgery, Computer-Assisted, instrumentation; Swine; User-Computer Interface
Abstract Computer assisted navigation is a widely adopted technique in neurosurgery and orthopedics. However, it is rarely used for surgeries on abdominal organs. In this paper, we propose a novel, non-invasive method based on electromagnetic tracking to determine the pose of the kidney. As a clinical use case, we show a complete surgical navigation system for augmented reality assisted laparoscopic partial nephrectomy. Experiments were performed ex vivo on pig kidneys and the evaluation showed an excellent augmented reality alignment error of 2.1 mm ± 1.2 mm.
Full Text on edoc No
Digital Object Identifier DOI 10.1007/978-3-319-10470-6_45
ISI-number 000347686400045

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