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Proceedings Paper

A novel quantification method for determining previously undetected silent infarcts on MR-perfusion in patients following carotid endarterectomy
Author(s): Xin Liu M.D.; Celina Imielinska; Joel Rosiene; Anita Rampersad; Joseph Zurica; David Wilson; Hadi Halazun; Susan C. Williams; Angela Ligneli M.D.; Anthony D'Ambrosio M.D.; Michael Sughrue; E. Sander Connolly Jr.; Eric J. Heyer M.D.
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Paper Abstract

The purpose of this paper is to evaluate the post-operative Magnetic Resonance Perfusion (MRP) scans of patients undergoing carotid endarterectomy (CEA), using a novel image-analysis algorithm, to determine if post-operative neurocognitive decline is associated with cerebral blood flow changes. CEA procedure reduces the risk of stroke in appropriately selected patients with significant carotid artery stenosis. However, 25% of patients experience subtle cognitive deficits after CEA compared to a control group. It was hypothesized that abnormalities in cerebral blood flow (CBF) are responsible for these cognitive deficits. A novel algorithm for analyzing MR-perfusion (MRP) scans to identify and quantify the amount of CBF asymmetry in each hemisphere was developed and to quantify the degree of relative difference between three corresponding vascular regions in the ipsilateral and contralateral hemispheres, the Relative Difference Map (RDM). Patients undergoing CEA and spine surgery (controls) were examined preoperatively, and one day postoperatively with a battery of neuropsychometric (NPM) tests, and labeled “injured” patients with significant cognitive deficits, and “normal” if they demonstrated no decline in neurocognitive function. There are apparently significant RDM differences with MRP scans between the two hemispheres in patients with cognitive deficits which can be used to guide expert reviews of the imagery. The proposed methodology aids in the analysis of MRP parameters in patients with cognitive impairment.

Paper Details

Date Published: 29 April 2005
PDF: 10 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.596623
Show Author Affiliations
Xin Liu M.D., Columbia Univ. (United States)
Celina Imielinska, Columbia Univ. (United States)
Joel Rosiene, Eastern Connecticut State Univ. (United States)
Anita Rampersad, Columbia Univ. (United States)
Joseph Zurica, Columbia Univ. (United States)
David Wilson, Columbia Univ. (United States)
Hadi Halazun, Columbia Univ. (United States)
Susan C. Williams, Columbia Univ. (United States)
Angela Ligneli M.D., Columbia Univ. (United States)
Anthony D'Ambrosio M.D., Columbia Univ. (United States)
Michael Sughrue, Columbia Univ. (United States)
E. Sander Connolly Jr., Columbia Univ. (United States)
Eric J. Heyer M.D., Columbia Univ. (United States)

Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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