FasciculationTools

Demonstrations.nb ››
Guide page ›› Code on Github ››

Methods for detecting muscle fasculations from diffusion data. When muscles contract it causes signal dropouts in diffusion weighted data (Steidle 2015). The method for detecting muscle fasculations using optimized measurement protocols has been named MU-MRI (Heskamp 2021). Here methods allow to detect these fasculations from any type of diffusion weighted data. Back››

References

• Steidle, G., Schick, F. (2015). Addressing spontaneous signal voids in repetitive single-shot DWI of musculature: Spatial and temporal patterns in the calves of healthy volunteers and consideration of unintended muscle activities as underlying mechanism. NMR in Biomedicine, 28(7), 801–810. link››
• Heskamp, L., Birkbeck, M. G., Whittaker, R. G., Schofield, I. S., Blamire, A. M. (2021). The muscle twitch profile assessed with motor unit magnetic resonance imaging. NMR in Biomedicine, 34(3). link››