Morphometric Analysis Of Normal And Pathologic Brain Structure Via High-Dimensional Shape Transformations

Abstract

The widespread use of neuroimaging methods in a variety of clinical and basic science fields has created the need for systematic and highly automated image analysis methodologies that extract pertinent information from images, in a way that enables comparisons across different studies, laboratories, and image databases. Quantifying the morphological characteristics of the brain from tomographic images, most often from magnetic resonance images (MRIs), is important for understanding the way in which a disease can affect brain anatomy, for constructing newdiagnostic methods utilizing image information, and for longitudinal follow-up studies evaluating potential drugs.