Shape Analysis of the Human Brain: A Brief Survey

Author

Nitzken, Matthew J. ; Casanova, Manuel F. ; Gimelfarb, Georgy ; Inanc, Tamer ; Zurada, Jacek M. ; El-Baz, Ayman

Author_Institution

Bioeng. Dept., Univ. of Louisville, Louisville, KY, USA

Volume

18

Issue

4

fYear

2014

fDate

Jul-14

Firstpage

1337

Lastpage

1354

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.

Keywords

anthropometry; biology computing; brain; shape measurement; Procrustes analysis; computer-aided diagnostics; deformable models; deformation morphometry; geodesic distances; human brain; medial axis; popular computational techniques; quantitative description; shape analysis; skeletal analysis; spherical harmonics; Accuracy; Analytical models; Informatics; Medical diagnostic imaging; Shape; Skeleton; Three-dimensional displays; Brain; diagnostics; shape analysis;

fLanguage

English

Journal_Title

Biomedical and Health Informatics, IEEE Journal of

Publisher

ieee

ISSN

2168-2194

Type

jour

DOI

10.1109/JBHI.2014.2298139

Filename

6704321