Spatially resolved kinetics of skeletal muscle exercise response and recovery with multiple echo diffusion tensor imaging (MEDITI): A feasibility study Journal Article


Authors: Sigmund, E. E.; Baete, S. H.; Patel, K.; Wang, D.; Stoffel, D.; Otazo, R.; Parasoglou, P.; Bencardino, J.
Article Title: Spatially resolved kinetics of skeletal muscle exercise response and recovery with multiple echo diffusion tensor imaging (MEDITI): A feasibility study
Abstract: Objectives: We describe measurement of skeletal muscle kinetics with multiple echo diffusion tensor imaging (MEDITI). This approach allows characterization of the microstructural dynamics in healthy and pathologic muscle. Materials and methods: In a Siemens 3-T Skyra scanner, MEDITI was used to collect dynamic DTI with a combination of rapid diffusion encoding, radial imaging, and compressed sensing reconstruction in a multi-compartment agarose gel rotation phantom and within in vivo calf muscle. An MR-compatible ergometer (Ergospect Trispect) was employed to enable in-scanner plantar flexion exercise. In a HIPAA-compliant study with written informed consent, post-exercise recovery of DTI metrics was quantified in eight volunteers. Exercise response of DTI metrics was compared with that of T2-weighted imaging and characterized by a gamma variate model. Results: Phantom results show quantification of diffusivities in each compartment over its full dynamic rotation. In vivo calf imaging results indicate larger radial than axial exercise response and recovery in the plantar flexion-challenged gastrocnemius medialis (fractional response: nT2w = 0.385 ± 0.244, nMD = 0.163 ± 0.130, nλ1 = 0.110 ± 0.093, nλrad = 0.303 ± 0.185). Diffusion and T2-weighted response magnitudes were correlated (e.g., r = 0.792, p = 0.019 for nMD vs. nT2w). Conclusion: We have demonstrated the feasibility of MEDITI for capturing spatially resolved diffusion tensor data in dynamic systems including post-exercise skeletal muscle recovery following in-scanner plantar flexion. © 2018, ESMRMB.
Keywords: diffusion tensor imaging; dynamic imaging; compressed sensing; multiple echo diffusion tensor acquisition technique (meditate)
Journal Title: Magnetic Resonance Materials in Physics, Biology and Medicine
Volume: 31
Issue: 5
ISSN: 0968-5243
Publisher: ESMRMB  
Date Published: 2018-10-01
Start Page: 599
End Page: 608
Language: English
DOI: 10.1007/s10334-018-0686-8
PROVIDER: scopus
PUBMED: 29761414
PMCID: PMC6437757
DOI/URL:
Notes: Article -- Export Date: 1 October 2018 -- Source: Scopus
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