Intraoperative neuroimage compensation using data-driven computational models

Keith D. Paulsen

doi:10.1117/12.487764

30 May 2003 Intraoperative neuroimage compensation using data-driven computational models

Keith D. Paulsen

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Proceedings Volume 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display; (2003) https://doi.org/10.1117/12.487764
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

Loss of coregistration preoperative imaging studies and teh surgical field due to brain deformation during surgery is an important problem that has recently received considerable attention. Methods for compensating or correcting for the loss of congruence between image and surgical views are taking a variety of forms and involve a spectrum of data acquisition techniques and/or image processing schemes. This paper describes an emerging approach to intraoperative image compensation which combines pre- and intraoperative data acquisition with computational biomechanical modeling to estimate full volume deformation distributions that result from neurosurgical interventions. The strategy updates preoperative scans by projectin gthis displacement estimation from neurosurgical interventions. The strategy updates preoperative scans by projecting this displacement estimation onto the coregistered imaging study to deform it into a new image volume which reflects the geometrical chagnes in the surgical field which have occurred during surgery. Discussion and summary of developments associated with this idea which have appeared in the recent literature are presented.

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Keith D. Paulsen "Intraoperative neuroimage compensation using data-driven computational models", Proc. SPIE 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display, (30 May 2003); https://doi.org/10.1117/12.487764

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KEYWORDS

Data modeling

Brain

Tissues

Surgery

Motion models

Systems modeling

Neuroimaging

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