Resection planning for robotic acoustic neuroma surgery

Kepra L. McBrayer; George B. Wanna; Benoit M. Dawant; Ramya Balachandran; Robert F. Labadie; Jack H. Noble

doi:10.1117/12.2216867

18 March 2016 Resection planning for robotic acoustic neuroma surgery

Kepra L. McBrayer, George B. Wanna, Benoit M. Dawant, Ramya Balachandran, Robert F. Labadie, Jack H. Noble

Proceedings Volume 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling; 978608 (2016) https://doi.org/10.1117/12.2216867
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Acoustic neuroma surgery is a procedure in which a benign mass is removed from the Internal Auditory Canal (IAC). Currently this surgical procedure requires manual drilling of the temporal bone followed by exposure and removal of the acoustic neuroma. This procedure is physically and mentally taxing to the surgeon. Our group is working to develop an Acoustic Neuroma Surgery Robot (ANSR) to perform the initial drilling procedure. Planning the ANSR's drilling region using pre-operative CT requires expertise and around 35 minutes' time. We propose an approach for automatically producing a resection plan for the ANSR that would avoid damage to sensitive ear structures and require minimal editing by the surgeon. We first compute an atlas-based segmentation of the mastoid section of the temporal bone, refine it based on the position of anatomical landmarks, and apply a safety margin to the result to produce the automatic resection plan. In experiments with CTs from 9 subjects, our automated process resulted in a resection plan that was verified to be safe in every case. Approximately 2 minutes were required in each case for the surgeon to verify and edit the plan to permit functional access to the IAC. We measured a mean Dice coefficient of 0.99 and surface error of 0.08 mm between the final and automatically proposed plans. These preliminary results indicate that our approach is a viable method for resection planning for the ANSR and drastically reduces the surgeon's planning effort.

Citation Download Citation

Kepra L. McBrayer, George B. Wanna, Benoit M. Dawant, Ramya Balachandran, Robert F. Labadie, and Jack H. Noble "Resection planning for robotic acoustic neuroma surgery", Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 978608 (18 March 2016); https://doi.org/10.1117/12.2216867

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KEYWORDS

Surgery

Image segmentation

Nerve

Bone

Ear

Image registration

Robotics

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