title: Augmented reality assisted laparoscopic partial nephrectomy.
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, noninvasive 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.
authors.forename: Adrian
authors.initials: A
authors.lastname: Schneider
authors.forename: Simon
authors.initials: S
authors.lastname: Pezold
authors.forename: Andreas
authors.initials: A
authors.lastname: Saner
authors.forename: Jan
authors.initials: J
authors.lastname: Ebbing
authors.forename: Stephen
authors.initials: S
authors.lastname: Wyler
authors.forename: Rachel
authors.initials: R
authors.lastname: Rosenthal
authors.forename: Philippe C
authors.initials: PC
authors.lastname: Cattin
mesh_terms: D000818:Animals; D004867:Equipment Design; D019544:Equipment Failure Analysis; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D007668:Kidney / Q000473:pathology* / Q000601:surgery*; D020706:Laparoscopes; D008280:Magnetics / Q000295:instrumentation*; D009392:Nephrectomy / Q000295:instrumentation*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000295:instrumentation*; D013552:Swine; D014584:User-Computer Interface