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A Method for the Analysis of the Geometrical Relationship between White Matter Pathology and the Vascular Architecture of the BrainD. Kozinska, C. Holland, K. Krissian, C.-F. Westin, C. R. G. GuttmannNeuroimage Volume 22, Pages 1671-1678 2004 AbstractA novel method for the visual and quantitative analysis of the geometrical relationship between the vascular architecture of the brain and white matter pathology is presented. The cerebro vascular system is implicated in the pathogenesis of many diseases of the cerebral white matter, for example, stroke, microcerebrovascular disease, and multiple sclerosis (MS). In our work, white matter lesions and vessels are depicted using magnetic resonance imaging (MRI) and extracted using image analysis techniques. We focus on measuring distance relationships between white matter lesions and vessels, and distribution of lesions with respect to vessel caliber. Vascular distance maps are generated by computing for each voxel the Euclidean distance to the closest vessel. Analogously, radius maps assign the radius of the closest vessel to each voxel in the image volume. The distance and radius maps are used to analyze the distribution of lesions with respect to the vessel's locations and their calibers. The method was applied to three MS patients to demonstrate its functionality and feasibility. Preliminary findings indicate that larger MS lesions tend to be farther from detected vessels and that the caliber of the vessels nearest to larger lesions tends to be smaller, suggesting a possible role of relative hypoperfusion or hypoxia in lesion formation.
ReferenceKozinska D, Holland C, Krissian K, Westin CF, Guttmann CRG. A method for the analysis of the geometrical relationship between white matter pathology and the vascular architecture of the brain. Neuroimage 2004;22:1671-1678.Bibtex entry
@Article{kozinskaNI04,
author = {D. Kozinska and C. Holland and K. Krissian and C.-F. Westin
and C. R. G Guttmann},
title = {A Method for the Analysis of the Geometrical Relationship
between White Matter Pathology and the Vascular Architecture
of the Brain},
journal = {Neuroimage},
year = {2004},
volume = {22},
pages = {1671-1678}
}
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