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Proceedings Paper

Inverse technique for combined model and sparse data estimates of brain motion
Author(s): Karen E. Lunn; Keith D. Paulsen; David W. Roberts; Francis E. Kennedy; Alex Hartov
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Paper Abstract

Model-based approaches to correct for brain shift in image-guided neurosurgery systems have shown promising results. Despite the initial success of such methods, the complex mechanical behavior of the brain under surgical loads makes it likely that model predictions could be improved with the incorporation of real-time measurements of tissue shift in the OR. To this end, an inverse method has been developed using sparse data and model constraints to generate estimates of brain motion. Based on methodology from ocean circulation modeling, this computational scheme combines estimates of statistical error in forcing conditions with a least squares minimization of the model-data misfit to directly estimate the full displacement solution. The method is tested on a 2D simulation based on clinical data in which ultrasound images were co-registered to the preoperative MR stack. Calculations from the 2D forward model are used as the 'gold standard' to which the inverse scheme is compared. Initial results are promising, though further study is needed to ascertain its value in 3D shift estimates.

Paper Details

Date Published: 30 May 2003
PDF: 11 pages
Proc. SPIE 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display, (30 May 2003); doi: 10.1117/12.479720
Show Author Affiliations
Karen E. Lunn, Dartmouth College (United States)
Keith D. Paulsen, Dartmouth College (United States)
Darmouth Hitchcock Medical Ctr. (United States)
Norris Cotton Cancer Ctr. (United States)
David W. Roberts, Dartmouth Hitchcock Medical Ctr. (United States)
Norris Cotton Cancer Ctr. (United States)
Francis E. Kennedy, Dartmouth College (United States)
Alex Hartov, Dartmouth College (United States)
Dartmouth Hitchcock Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 5029:
Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display
Robert L. Galloway, Editor(s)

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