Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks
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
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.