Statistical shape analysis of subcortical structures using spectral matching

Quantifying groupwise neuroanatomical shape differences has become an important topic in neuroscience as well as in neuroimaging studies, since brain morphometry has been hypothesized to be linked to various neurological disorders [1]. Recent advances in medical image analysis have led to several morphological studies on different pathologies including schizophrenia [2] and Alzheimer's disease [3]. Early studies on brain morphology were based on volumetric analysis, which had the advantage of simplicity [3,4].

Source: Computerized Medical Imaging and Graphics - March 15, 2016 Category: Radiology Authors: Mahsa Shakeri, Herve Lombaert, Alexandre N. Datta, Nadine Oser, Laurent Létourneau-Guillon, Laurence Vincent Lapointe, Florence Martin, Domitille Malfait, Alan Tucholka, Sarah Lippé, Samuel Kadoury, for the Alzheimer's Disease Neuroimaging Initiative Source Type: research