AM-FM texture segmentation in electron microscopic muscle imaging.

M S Pattichis; C S Pattichis; M Avraam; A Bovik; K Kyriacou

doi:10.1109/42.897818

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AM-FM texture segmentation in electron microscopic muscle imaging.

M S Pattichis·C S Pattichis·M Avraam·A Bovik·K Kyriacou

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Abstract

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.

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Humans Microscopy, Electron Mitochondrial Myopathies Muscle, Skeletal Myopathies, Nemaline Myopathies, Structural, Congenital Sarcomeres Ultrasonography Letter Research Support, Non-U.S. Gov't

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M S Pattichis, C S Pattichis, M Avraam, A Bovik, K Kyriacou. 2000. AM-FM texture segmentation in electron microscopic muscle imaging.. https://doi.org/10.1109/42.897818

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