Share Email Print

Journal of Medical Imaging

Retrospective study comparing model-based deformation correction to intraoperative magnetic resonance imaging for image-guided neurosurgery
Author(s): Ma Luo; Sarah F. Frisken; Jared A. Weis; Logan W. Clements; Prashin Unadkat; Reid C. Thompson; Alexandra J. Golby; Michael I. Miga
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Brain shift during tumor resection compromises the spatial validity of registered preoperative imaging data that is critical to image-guided procedures. One current clinical solution to mitigate the effects is to reimage using intraoperative magnetic resonance (iMR) imaging. Although iMR has demonstrated benefits in accounting for preoperative-to-intraoperative tissue changes, its cost and encumbrance have limited its widespread adoption. While iMR will likely continue to be employed for challenging cases, a cost-effective model-based brain shift compensation strategy is desirable as a complementary technology for standard resections. We performed a retrospective study of n=9 tumor resection cases, comparing iMR measurements with intraoperative brain shift compensation predicted by our model-based strategy, driven by sparse intraoperative cortical surface data. For quantitative assessment, homologous subsurface targets near the tumors were selected on preoperative MR and iMR images. Once rigidly registered, intraoperative shift measurements were determined and subsequently compared to model-predicted counterparts as estimated by the brain shift correction framework. When considering moderate and high shift (<3  mm, n=13±6 measurements per case), the alignment error due to brain shift reduced from 5.7±2.6 to 2.3±1.1  mm, representing ∼59% correction. These first steps toward validation are promising for model-based strategies.

Paper Details

Date Published: 13 September 2017
PDF: 16 pages
J. Med. Imag. 4(3) 035003 doi: 10.1117/1.JMI.4.3.035003
Published in: Journal of Medical Imaging Volume 4, Issue 3
Show Author Affiliations
Ma Luo, Vanderbilt Univ. (United States)
Sarah F. Frisken, Brigham and Women's Hospital (United States)
Jared A. Weis, Wake Forest School of Medicine (United States)
Logan W. Clements, Vanderbilt Univ. (United States)
Prashin Unadkat, Brigham and Women's Hospital (United States)
Reid C. Thompson, Vanderbilt Univ. Medical Ctr. (United States)
Alexandra J. Golby, Brigham and Women’s Hospital (United States)
Michael I. Miga, Vanderbilt Univ. (United States)

© SPIE. Terms of Use
Back to Top