title: Review and Challenges of Brain Analysis through DTI Measurements.
abstract: Medical images are being studied to analyse the brain in neurological disorders. Measurements extracted from Diffusion tensor image (DTI) such as Fractional Anisotropy (FA) describe the brain changes caused by diseases. However, there is no single best method for the quantitative brain analysis. This paper presents a review of the existing methods and software tools for brain analysis through DTI measurements. It also states some challenges that current software tools still have to meet in order to improve automation and usability and become smarter software tools.
authors.affiliation: CEIT and Tecnun (University of Navarra), San Sebastián, Spain, agarin,dborro@ceit.es.
authors.forename: Alba
authors.initials: A
authors.lastname: Garin-Muga
authors.affiliation: CEIT and Tecnun (University of Navarra), San Sebastián, Spain, agarin,dborro@ceit.es.
authors.forename: Diego
authors.initials: D
authors.lastname: Borro
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging* / Q000473:pathology; D001927:Brain Diseases / Q000000981:diagnostic imaging* / Q000473:pathology; D003937:Diagnosis, Differential; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D066127:White Matter / Q000000981:diagnostic imaging* / Q000473:pathology