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Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/4393

Title: Magnetic Resonance Image Post-Processing for Multiple Sclerosis Research.
Authors: Horsfield, Mark A.
Issue Date: Nov-2008
Publisher: Elsevier
Citation: Neuroimaging Clinics of North America, 2008, 18 (4), pp. 637-649.
Abstract: Computerized image analysis is becoming more routine in multiple sclerosis research. This article reviews the common types of task that are performed when producing quantitative measures of disease status, progression, or response to treatment. These tasks encompass uniformity (bias) correction, registration, segmentation, image algebra and fitting, diffusion tensor imaging and tractography, perfusion assessment, and three-dimensional visualization. The aim of these steps is to output reproducible, quantitative assessments of MR imaging scans that can be performed on data generated by the many different scanning sites that may be involved in multicenter studies.
ISSN: 1052-5149
Links: http://dx.doi.org/10.1016/j.nic.2008.06.006
Type: Article
Description: This is the author's final draft of the paper published as Neuroimaging Clinics of North America, 2008, 18 (4), pp. 637-649. The final version is available from http://www.neuroimaging.theclinics.com/article/S1052-5149(08)00057-9/abstract. Doi: 10.1016/j.nic.2008.06.006
Appears in Collections:Published Articles, Dept. of Cardiovascular Sciences

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