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

abstract

• 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)

authors

• Griffin, John
• Ji, Jim

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

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference  Journal

keywords

• Animals
• Biomarkers
• Disease Progression
• Dogs
• Dystrophin
• Magnetic Resonance Imaging
• Muscle, Skeletal
• Muscular Dystrophy, Duchenne

PubMed Central ID

• 29060790

Digital Object Identifier (DOI)

• 10.1109/EMBC.2017.8037749

International Standard Book Number (ISBN) 13

• 9781509028092

start page

• 4066

end page

• 4069

volume

• 2017

URL

• http://dx.doi.org/10.1109/embc.2017.8037749