Validating Nonlinear Registration to Improve Subtraction Images for Lesion Detection and Quantification in Multiple Sclerosis
CONCLUSIONSNonlinear registration for generation of subtraction images has been demonstrated to be a promising new technique as it shows improvement in lesion activity change detection. This approach decreases the number of artifacts in subtraction images. With improved lesion volume estimates and reduced artifacts, nonlinear registration may lead to discarding less subject data and an improvement in the statistical power of subtraction imaging studies.
Source: Journal of Neuroimaging - Category: Radiology Authors: Vikas Kotari, Racha Salha, Dana Wang, Emily Wood, Marco Salvetti, Giovanni Ristori, Larry Tang, Francesca Bagnato, Vasiliki N. Ikonomidou Tags: Experimental Laboratory Research Source Type: research
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