In vivo quantification of a homogeneous brain deformation model for updating preoperative images during surgery.

Miga MI, Paulsen KD, Hoopes PJ, Kennedy FE, Hartov A, Roberts DW
IEEE Trans Biomed Eng. 2000 47 (2): 266-73

PMID: 10721634 · DOI:10.1109/10.821778

Clinicians using image-guidance for neurosurgical procedures have recently recognized that intraoperative deformation from surgical loading can compromise the accuracy of patient registration in the operating room. While whole brain intraoperative imaging is conceptually appealing it presents significant practical limitations. Alternatively, a promising approach may be to combine incomplete intraoperatively acquired data with a computational model of brain deformation to update high resolution preoperative images during surgery. The success of such an approach is critically dependent on identifying a valid model of brain deformation physics. Towards this end, we evaluate a three-dimensional finite element consolidation theory model for predicting brain deformation in vivo through a series of controlled repeat-experiments. This database is used to construct an interstitial pressure boundary condition calibration curve which is prospectively tested in a fourth validation experiment. The computational model is found to recover 75%-85% of brain motion occurring under loads comparable to clinical conditions. Additionally, the updating of preoperative images using the model calculations is presented and demonstrates that model-updated image-guided neurosurgery may be a viable option for addressing registration errors related to intraoperative tissue motion.

MeSH Terms (13)

Animals Brain Calibration Computer Simulation Image Processing, Computer-Assisted Magnetic Resonance Imaging Models, Neurological Monitoring, Intraoperative Neurosurgical Procedures Preoperative Care Reproducibility of Results Swine Tomography, X-Ray Computed

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