Photoacoustic image guidance for robot-assisted skull base surgery
Sungmin Kim, Hyun Jae Kang, Alexis Cheng, Muyinatu A. Lediju Bell, Emad Boctor, Peter Kazanzides
Abstract
We are investigating the use of photoacoustic (PA) imaging to detect critical structures, such as the carotid artery, that may be located behind the bone being drilled during robot-assisted endonasal transsphenoidal surgery. In this system, the laser is mounted on the drill (via an optical fiber) and the 2D ultrasound (US) probe is placed elsewhere on the skull. Both the drill and the US probe are tracked relative to the patient reference frame. PA imaging provides two advantages compared to conventional B-mode US: (1) the laser penetrates thin layers of bone, and (2) the PA image displays targets that are in the laser path. Thus, the laser can be used to (non-invasively) extend the drill axis, thereby enabling reliable detection of critical structures that may reside in the drill path. This setup creates a challenging alignment problem, however, because the US probe must be placed so that its image plane intersects the laser line in the neighborhood of the target anatomy (as estimated from preoperative images). This paper reports on a navigation system developed to assist with this task, and the results of phantom experiments that demonstrate that a critical structure can be detected with an accuracy of approximately 1 mm relative to the drill tip.
BibTeX
@inproceedings{icra2015_photoacousticima,
title = {Photoacoustic image guidance for robot-assisted skull base surgery},
author = {Sungmin Kim and Hyun Jae Kang and Alexis Cheng and Muyinatu A. Lediju Bell and Emad Boctor and Peter Kazanzides},
booktitle = {ICRA 2015},
year = {2015}
}