title: AM-FM texture segmentation in electron microscopic muscle imaging.
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.
authors.forename: M S
authors.initials: MS
authors.lastname: Pattichis
authors.forename: C S
authors.initials: CS
authors.lastname: Pattichis
authors.forename: M
authors.initials: M
authors.lastname: Avraam
authors.forename: A
authors.initials: A
authors.lastname: Bovik
authors.forename: K
authors.initials: K
authors.lastname: Kyriacou
mesh_terms: D006801:Humans; D008854:Microscopy, Electron / Q000379:methods*; D017240:Mitochondrial Myopathies / Q000473:pathology; D018482:Muscle, Skeletal / Q000000981:diagnostic imaging*; D017696:Myopathies, Nemaline / Q000473:pathology; D020914:Myopathies, Structural, Congenital / Q000473:pathology; D012518:Sarcomeres / Q000000981:diagnostic imaging; D014463:Ultrasonography