Paper
10 December 2021 Combined multi-protocols qMRI for thigh muscle analysis: a preliminary study
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Proceedings Volume 12088, 17th International Symposium on Medical Information Processing and Analysis; 120880G (2021) https://doi.org/10.1117/12.2604236
Event: Seventeenth International Symposium on Medical Information Processing and Analysis, 2021, Campinas, Brazil
Abstract
Quantitative MRI (qMRI) has been shown to be crucial for assessing organ dysfunction in the body. Usually, in qMRI approaches, a few metrics are extracted to distinguish normal and abnormal tissues. In this study, we coupled four MRI protocols (mDIXON T1, T1 and T2 mapping and DTI) to obtain 34 complementary metrics including 20 shape metrics, 2 texture metrics and 12 water diffusivity metrics for thigh muscle analysis. These metrics were calculated on both thighs to detect a pathological difference between a pair of right and left muscles. The method is based on a dimension reduction method and a projection of shape and diffusivity metrics into a three-dimensional linear latent space, along with two texture metrics. 5 healthy individuals (10 thighs, each thigh 7 muscles, i.e., 4 flexors and 3 extensors) were scanned to provide the reference scores. The developed pipeline was used to analyse the thighs of 4 patients in order to suggest a specific muscle therapy before total knee arthroplasty (TKA) and for each of the 7 muscles studied. Preliminary results from the analysis of thigh muscle texture, shape and diffusivity showed that this qMRI protocol can help to suggest a targeted, patient-specific exercise plan to improve muscle recovery after TKA surgery. More healthy and pathological subjects are needed to confirm these encouraging results.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mehran Azimbagirad, Guillaume Dardenne, Douraied Ben Salem M.D., Olivier Remy-Neris, and Valerie Burdin "Combined multi-protocols qMRI for thigh muscle analysis: a preliminary study", Proc. SPIE 12088, 17th International Symposium on Medical Information Processing and Analysis, 120880G (10 December 2021); https://doi.org/10.1117/12.2604236
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KEYWORDS
Diffusion tensor imaging

Magnetic resonance imaging

Principal component analysis

Shape analysis

Surgery

Tissues

Anisotropy

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