Title :
MRI brain image segmentation using an AM-FM model
Author :
Patichis, M.S. ; Petropoulos, Helen ; Brooks, William M.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
MRI brain images are characterized by non-stationary components that make fully automated segmentation a challenging task. An AM-FM model is used to model these non-stationarities. Using the AM-FM model, a new, fully automated texture segmentation system is used to automatically segment the cerebellum from a 3-D set of MRI brain images.
Keywords :
amplitude modulation; biomedical MRI; brain; frequency modulation; image segmentation; image texture; medical image processing; 3D MRI brain images; AM-FM model; MRI brain image segmentation; amplitude modulation; automated segmentation; automated texture segmentation system; cerebellum; dominant component analysis; frequency modulation; nonstationary components; Algorithm design and analysis; Brain modeling; Electronic mail; Image analysis; Image converters; Image segmentation; Magnetic resonance; Magnetic resonance imaging; Shape; Testing;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.910646
