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Journal of Biomedical Optics • Open Access

Quantitative evaluation of skeletal muscle defects in second harmonic generation images
Author(s): Wenhua Liu; Evelyn Ralston; Nina Raben

Paper Abstract

Skeletal muscle pathologies cause irregularities in the normally periodic organization of the myofibrils. Objective grading of muscle morphology is necessary to assess muscle health, compare biopsies, and evaluate treatments and the evolution of disease. To facilitate such quantitation, we have developed a fast, sensitive, automatic imaging analysis software. It detects major and minor morphological changes by combining texture features and Fourier transform (FT) techniques. We apply this tool to second harmonic generation (SHG) images of muscle fibers which visualize the repeating myosin bands. Texture features are then calculated by using a Haralick gray-level cooccurrence matrix in MATLAB. Two scores are retrieved from the texture correlation plot by using FT and curve-fitting methods. The sensitivity of the technique was tested on SHG images of human adult and infant muscle biopsies and of mouse muscle samples. The scores are strongly correlated to muscle fiber condition. We named the software MARS (muscle assessment and rating scores). It is executed automatically and is highly sensitive even to subtle defects. We propose MARS as a powerful and unbiased tool to assess muscle health.

Paper Details

Date Published: 1 February 2013
PDF: 11 pages
J. Biomed. Opt. 18(2) 026005 doi: 10.1117/1.JBO.18.2.026005
Published in: Journal of Biomedical Optics Volume 18, Issue 2
Show Author Affiliations
Wenhua Liu, National Institutes of Health (United States)
Evelyn Ralston, National Institutes of Health (United States)
Nina Raben, National Institutes of Health (United States)

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