AM-FM texture segmentation in electron microscopic muscle imaging
AuthorPattichis, Marios S.
Pattichis, Constantinos S.
Bovik, Alan Conrad
Kyriacou, Kyriacos C.
SourceIEEE Transactions on Medical Imaging
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This paper 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 were 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. © 2000 IEEE.
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