Tissue classification in a canine model of Duchenne Muscular Dystrophy using quantitative MRI parameters. Conference Paper uri icon


  • Duchenne Muscular Dystrophy (DMD) is a genetic disorder caused by dystrophin protein deficiency. Muscle biopsy is the gold standard to determine the disease severity and progression. MRI has shown potential for monitoring disease progression or assessing the treatment effectiveness. In this study, multiple quantitative MRI parameters were used to classify the tissue components in a canine model of DMD disease using histoimmunochemistry analysis as a "ground truth". Results show that multiple MRI parameters may be used to reliably classify the muscular tissue and generate a high-resolution tissue type maps, which can be used as potential non-invasive imaging biomarkers for the DMD.

name of conference

  • 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

published proceedings

  • Annu Int Conf IEEE Eng Med Biol Soc

author list (cited authors)

  • Eresen, A., McConnell, S., Birch, S. M., Griffin, J. F., Kornegay, J. N., & Ji, J. X.

citation count

  • 1

complete list of authors

  • Eresen, A||McConnell, S||Birch, SM||Griffin, JF||Kornegay, JN||Ji, JX

publication date

  • July 2017