DocumentCode :
1385006
Title :
Intraoperative Brain Shift Compensation: Accounting for Dural Septa
Author :
Chen, Ishita ; Coffey, Aaron M. ; Ding, Siyi ; Dumpuri, Prashanth ; Dawant, Benoit M. ; Thompson, Reid C. ; Miga, Michael I.
Author_Institution :
Dept. of Biomed. Eng., Vanderbilt Univ., Nashville, TN, USA
Volume :
58
Issue :
3
fYear :
2011
fDate :
3/1/2011 12:00:00 AM
Firstpage :
499
Lastpage :
508
Abstract :
Biomechanical models that describe soft tissue deformation provide a relatively inexpensive way to correct registration errors in image-guided neurosurgical systems caused by nonrigid brain shift. Quantifying the factors that cause this deformation to sufficient precision is a challenging task. To circumvent this difficulty, atlas-based methods have been developed recently that allow for uncertainty, yet still capture the first-order effects associated with deformation. The inverse solution is driven by sparse intraoperative surface measurements, which could bias the reconstruction and affect the subsurface accuracy of the model prediction. Studies using intraoperative MR have shown that the deformation in the midline, tentorium, and contralateral hemisphere is relatively small. The dural septa act as rigid membranes supporting the brain parenchyma and compartmentalizing the brain. Accounting for these structures in models may be an important key to improving subsurface shift accuracy. A novel method to segment the tentorium cerebelli will be described, along with the procedure for modeling the dural septa. Results in seven clinical cases show a qualitative improvement in subsurface shift accuracy making the predicted deformation more congruous with previous observations in the literature. The results also suggest a considerably more important role for hyperosmotic drug modeling for the intraoperative shift correction environment.
Keywords :
biomechanics; biomedical MRI; brain; deformation; image registration; medical image processing; neurophysiology; atlas based methods; biomechanical models; contralateral hemisphere deformation; deformation associated first order effects; dural septa; hyperosmotic drug modeling; image guided neurosurgical systems; intraoperative MR data; intraoperative brain shift compensation; inverse solution; midline deformation; nonrigid brain shift; registration error correction; soft tissue deformation; sparse intraoperative surface measurements; tentorium cerebelli segmention; tentorium deformation; the intraoperative shift correction; Boundary conditions; Brain models; Computational modeling; Head; Surgery; Tumors; Brain modeling; dural septa; falx cerebri; finite-element methods; image-guided surgery; inverse model; tentorium cerebelli; Adult; Aged; Brain; Brain Neoplasms; Dura Mater; Female; Finite Element Analysis; Humans; Image Processing, Computer-Assisted; Least-Squares Analysis; Magnetic Resonance Imaging; Male; Middle Aged; Models, Anatomic; Retrospective Studies; Surgery, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2010.2093896
Filename :
5641597
Link To Document :
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