DocumentCode :
1429139
Title :
AM-FM texture segmentation in electron microscopic muscle imaging
Author :
Pattichis, Marios S. ; Pattichis, Constantinos S. ; Avraam, Maria ; Bovik, Alan ; Kyriacou, Kyriacos
Author_Institution :
Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Volume :
19
Issue :
12
fYear :
2000
Firstpage :
1253
Lastpage :
1257
Abstract :
Describes the application of an amplitude modulation-frequency modulation (AM-FM) image representation in segmenting electron micrographs of skeletal muscle for the recognition of: (1) normal sarcomere ultrastructural pattern and (2) abnormal regions that occur in sarcomeres in various myopathies. A total of 26 electron micrographs from different myopathies mere used for this study. It is shown that the AM-FM image representation can identify normal repetitive structures and sarcomeres, with a good degree of accuracy. This system can also detect abnormalities in sarcomeres which alter the normal regular pattern, as seen in muscle pathology, with a recognition accuracy of 75%-84% as compared to a human expert.
Keywords :
amplitude modulation; diseases; electron microscopy; frequency modulation; image representation; image segmentation; image texture; medical image processing; muscle; AM-FM texture segmentation; abnormal regions; electron microscopic muscle imaging; human expert; muscle pathology; normal sarcomere ultrastructural pattern; recognition accuracy; sarcomere abnormalities detection; Amplitude modulation; Biopsy; Electron microscopy; Humans; Image recognition; Image representation; Image segmentation; Muscles; Pattern recognition; Structural rods; Humans; Microscopy, Electron; Mitochondrial Myopathies; Muscle, Skeletal; Myopathies, Nemaline; Myopathies, Structural, Congenital; Sarcomeres;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.897818
Filename :
897818
Link To Document :
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