title: Shape analysis of the human brain: a brief survey.
abstract: The survey outlines and compares popular computational techniques for quantitative description of shapes of major structural parts of the human brain, including medial axis and skeletal analysis, geodesic distances, Procrustes analysis, deformable models, spherical harmonics, and deformation morphometry, as well as other less widely used techniques. Their advantages, drawbacks, and emerging trends, as well as results of applications, in particular, for computer-aided diagnostics, are discussed.
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Nitzken
authors.forename: Manuel F
authors.initials: MF
authors.lastname: Casanova
authors.forename: Georgy
authors.initials: G
authors.lastname: Gimelfarb
authors.forename: Tamer
authors.initials: T
authors.lastname: Inanc
authors.forename: Jacek M
authors.initials: JM
authors.lastname: Zurada
authors.forename: Ayman
authors.initials: A
authors.lastname: El-Baz
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D008297:Male; D015233:Models, Statistical; D059906:Neuroimaging / Q000379:methods*