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
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;
Journal_Title :
Medical Imaging, IEEE Transactions on