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      Quantification of global cerebral atrophy in multiple sclerosis from 3T MRI using SPM: the role of misclassification errors.

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          Abstract

          We tested the validity of a freely available segmentation pipeline to measure compartmental brain volumes from 3T MRI in patients with multiple sclerosis (MS). Our primary focus was methodological to explore the effect of segmentation corrections on the clinical relevance of the output metrics.

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          Unified segmentation.

          A probabilistic framework is presented that enables image registration, tissue classification, and bias correction to be combined within the same generative model. A derivation of a log-likelihood objective function for the unified model is provided. The model is based on a mixture of Gaussians and is extended to incorporate a smooth intensity variation and nonlinear registration with tissue probability maps. A strategy for optimising the model parameters is described, along with the requisite partial derivatives of the objective function.
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            The Family of Ln2Ti2S2O5 Compounds (Ln=Nd Sm Gd Tb Dy Ho Er and Y) Optical Properties

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              Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria".

              New diagnostic criteria for multiple sclerosis integrating magnetic resonance image assessment with clinical and other paraclinical methods were introduced in 2001. The "McDonald Criteria" have been extensively assessed and used since 2001. New evidence and consensus now strengthen the role of these criteria in the multiple sclerosis diagnostic workup to demonstrate dissemination of lesions in time, to clarify the use of spinal cord lesions, and to simplify diagnosis of primary progressive disease. The 2005 Revisions to the McDonald Diagnostic Criteria for MS should simplify and speed diagnosis, whereas maintaining adequate sensitivity and specificity.
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                Author and article information

                Journal
                J Neuroimaging
                Journal of neuroimaging : official journal of the American Society of Neuroimaging
                Wiley-Blackwell
                1552-6569
                1051-2284
                December 20 2014
                : 25
                : 2
                Affiliations
                [1 ] Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.
                Article
                10.1111/jon.12194
                4409073
                25523616

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