Intraoperative brain tumor resection cavity characterization with conoscopic holography

Amber L. Simpson; Jessica Burgner; Ishita Chen; Thomas S. Pheiffer; Kay Sun; Reid C. Thompson; Robert J. Webster III; Michael I. Miga

doi:10.1117/12.911926

17 February 2012 Intraoperative brain tumor resection cavity characterization with conoscopic holography

Amber L. Simpson, Jessica Burgner, Ishita Chen, Thomas S. Pheiffer, Kay Sun, Reid C. Thompson, Robert J. Webster III, Michael I. Miga

Author Affiliations +

Proceedings Volume 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling; 831631 (2012) https://doi.org/10.1117/12.911926
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Brain shift compromises the accuracy of neurosurgical image-guided interventions if not corrected by either intraoperative imaging or computational modeling. The latter requires intraoperative sparse measurements for constraining and driving model-based compensation strategies. Conoscopic holography, an interferometric technique that measures the distance of a laser light illuminated surface point from a fixed laser source, was recently proposed for non-contact surface data acquisition in image-guided surgery and is used here for validation of our modeling strategies. In this contribution, we use this inexpensive, hand-held conoscopic holography device for intraoperative validation of our computational modeling approach to correcting for brain shift. Laser range scan, instrument swabbing, and conoscopic holography data sets were collected from two patients undergoing brain tumor resection therapy at Vanderbilt University Medical Center. The results of our study indicate that conoscopic holography is a promising method for surface acquisition since it requires no contact with delicate tissues and can characterize the extents of structures within confined spaces. We demonstrate that for two clinical cases, the acquired conoprobe points align with our model-updated images better than the uncorrected images lending further evidence that computational modeling approaches improve the accuracy of image-guided surgical interventions in the presence of soft tissue deformations.

Citation Download Citation

Amber L. Simpson, Jessica Burgner, Ishita Chen, Thomas S. Pheiffer, Kay Sun, Reid C. Thompson, Robert J. Webster III, and Michael I. Miga "Intraoperative brain tumor resection cavity characterization with conoscopic holography", Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 831631 (17 February 2012); https://doi.org/10.1117/12.911926

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available