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Proceedings Paper

Incorporation of surface-based deformations for updating images intraoperatively
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Paper Abstract

Patient-to-image misalignment becomes exacerbated by common surgical events such as brain sag, drug interactions, retraction, and resection. One strategy to remedy this mis- registration is to employ computational models in conjunction with low-cost intraoperatively-acquired data (e.g. surface tracking, and co-registered ultrasound) to deform preoperative imaging data to account for OR actions. In this paper, we present preliminary data from a cortical surface scanning system and study the impact of surface- based information on model-updates. Preliminary data is presented using a 3D laser scanning technology in conjunction with an iterative closest point (ICP) algorithm to register and track phantom and ex vivo data. Simulations are presented to analyze the direct use of displacement data versus modeling the underlying physical load in a clinical example of gravity-induced deformation. Results demonstrate dramatic differences in subsurface deformation fields highlighting that the nature of the surgical load (i.e. surface or body force) must be thoughtfully discriminated to accurately update images. Furthermore, the results suggest that the application of surface displacements to update image volumes must be consistent with the physical origin of deformation rather than applied in a direct interpolative sense.

Paper Details

Date Published: 28 May 2001
PDF: 10 pages
Proc. SPIE 4319, Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures, (28 May 2001); doi: 10.1117/12.428051
Show Author Affiliations
Michael I. Miga, Vanderbilt Univ. (United States)
J. Michael Fitzpatrick, Vanderbilt Univ. (United States)
Robert L. Galloway, Vanderbilt Univ. (United States)
Keith D. Paulsen, Dartmouth College (United States)


Published in SPIE Proceedings Vol. 4319:
Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures
Seong Ki Mun, Editor(s)

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