Stereopsis-guided brain shift compensation.
Brain deformation models have proven to be a powerful tool in compensating for soft tissue deformation during image-guided neurosurgery. The accuracy of these models can be improved by incorporating intraoperative measurements of brain motion. We have designed and implemented a passive intraoperative stereo vision system capable of estimating the three-dimensional shape of the surgical scene in near real-time. This intraoperative shape is compared with the cortical surface in the co-registered preoperative magnetic resonance (MR) volume for the estimation of the cortical motion resulting from the open cranial surgery. The estimated cortical motion is then used to guide a full brain model, which updates a preoperative MR volume. We have found that the stereo vision system is accurate to within approximately 1 mm. Based on data from two representative clinical cases, we show that stereopsis guidance improves the accuracy of brain shift compensation both at and below the cortical surface.
Sun
Hai
H
Dartmouth Medical School, 172 Kellogg Building, Hanover, NH 03755 USA. Hai.Sun@dartmouth.edu
Lunn
Karen E
KE
Farid
Hany
H
Wu
Ziji
Z
Roberts
David W
DW
Hartov
Alex
A
Paulsen
Keith D
KD
D000465:Algorithms; D001185:Artificial Intelligence; D002540:Cerebral Cortex / Q000033:anatomy & histology* / Q000502:physiology / Q000601:surgery*; D003198:Computer Simulation; D003867:Depth Perception; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D038361:Neuronavigation / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D010780:Photogrammetry / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000379:methods*