Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/4393
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dc.contributor.authorHorsfield, Mark A.-
dc.date.accessioned2009-04-20T15:27:54Z-
dc.date.available2009-04-20T15:27:54Z-
dc.date.issued2008-11-
dc.identifier.citationNeuroimaging Clinics of North America, 2008, 18 (4), pp. 637-649.en_GB
dc.identifier.issn1052-5149-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S1052514908000579en_GB
dc.identifier.urihttp://hdl.handle.net/2381/4393-
dc.description.abstractComputerized 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.en_GB
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.titleMagnetic Resonance Image Post-Processing for Multiple Sclerosis Research.en_GB
dc.typeArticleen_GB
dc.identifier.doi10.1016/j.nic.2008.06.006-
Appears in Collections:Published Articles, Dept. of Cardiovascular Sciences

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