Segmentation and mapping of highly convoluted contours with applications to medical images

Author

Davatzikos, Chris A. ; Prince, Jerry L.

Author_Institution

Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA

Volume

3

fYear

1992

fDate

23-26 Mar 1992

Firstpage

569

Abstract

A method that simultaneously identifies the central layer of the human cortex and maps it onto the interval [0,1] of the real axis is presented. Statistical and geometric information is incorporated into a global variational problem, whose solution is obtained iteratively. The method is evaluated on a set of magnetic resonance images, acquired with a protocol that optimizes the contrast between the cortical gray matter and the underlying white matter

Keywords

biomedical NMR; image reconstruction; image segmentation; iterative methods; medical image processing; variational techniques; contour mapping; global variational problem; highly convoluted contours; human cortex; image segmentation; iterative solution; magnetic resonance images; medical images; Application software; Biomedical imaging; Humans; Image reconstruction; Image segmentation; Magnetic resonance imaging; Medical diagnostic imaging; Positron emission tomography; Statistics; Surface reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226149

Filename

226149