FasciculationTools

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

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

muscle fasciculation detection

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››