DocumentCode
1589270
Title
Automatic recognition of brain regions from magnetic resonance images
Author
Sandor, Stephanie R. ; Leahy, Richard
Author_Institution
Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear
1992
Firstpage
172
Abstract
An application of active contour models to the problem of atlas to image matching for magnetic resonance (MR) brain images is demonstrated. A B-spline approximation to the original snake model of M. Kass et al. (1988) is used, along with a multigrid method to overcome some of the problems of the snake model. In the particular example shown, the multigrid method yields an accurate warping of the atlas curves onto the segmented image. Overall, the single-level snakes performed well; however, an instance in which the single-level algorithm could not correct a region mismatch is shown. The procedure can be extended to the 3-D problem by replacing the B-spline curve with a B-spline surface. The snake energy is also modified to reflect mechanical properties of the surface
Keywords
biomedical NMR; brain models; medical image processing; B-spline approximation; active contour models; atlas curves warping; automatic brain regions recognition; magnetic resonance images; multigrid method; region mismatch correction; segmented image; single-level algorithm; snake model; surface mechanical properties; Active contours; Anatomy; Brain modeling; Computer vision; Cost function; Energy resolution; Image recognition; Magnetic resonance; Shape; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-3160-0
Type
conf
DOI
10.1109/ACSSC.1992.269281
Filename
269281
Link To Document