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Obtaining Quality Extended Field-of-View Ultrasound Images of Skeletal Muscle to Measure Muscle Fascicle Length
Published on: December 14, 2020
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Pressure based MRI-compatible muscle fascicle length and joint angle estimation.
Hyungeun Song1,2, Erica Israel1,3, Shriya Srinivasan1,2
1Center for Extreme Bionics, Massachusetts Institute of Technology (MIT) Media Lab, Cambridge, 02139, MA, USA.
Journal of Neuroengineering and Rehabilitation
|August 27, 2020
Summary
A novel pressure-based muscular motion sensor (pMMS) accurately measures muscle fascicle length and joint angle. This innovation enables real-time monitoring during functional magnetic resonance imaging (fMRI) for advanced neurophysiology studies.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Rehabilitation Technology
Background:
- Functional magnetic resonance imaging (fMRI) is crucial for understanding central nervous system (CNS) neurophysiology and neuropathologies.
- Accurate fMRI studies rely on real-time monitoring of subject task performance, which is challenging with current technology.
- Existing MRI-compatible sensors cannot measure muscle fascicle length, limiting insights into peripheral and central nervous system interactions, especially in amputee populations.
Purpose of the Study:
- To develop a novel, low-cost, MRI-compatible sensor for real-time muscle fascicle length and joint angle estimation.
- To assess the sensor's accuracy and reliability in measuring muscular motion during functional magnetic resonance imaging (fMRI) studies.
- To expand the application of such sensors to diverse populations, including those with amputations.
Main Methods:
- Proposed a lightweight, skin impedance-insensitive pressure-based muscular motion sensor (pMMS) utilizing air pocket pressure changes.
- Developed a method to estimate muscle fascicle length and joint angle from pressure readings based on muscle-skin-sensor interaction dynamics.
- Validated the pMMS accuracy using ultrasound imaging for muscle fascicle length and joint encoders for ankle joint angle in biologically intact subjects.
Main Results:
- A single pMMS accurately estimated tibialis anterior (TA) muscle fascicle length and ankle joint angle during dorsiflexion.
- Differential pressure readings from two pMMSs mitigated errors from perturbations, enabling accurate estimation across a full range of motion.
- The sensor demonstrated robustness and reliability in various movement speeds and amplitudes.
Conclusions:
- The developed pressure-based muscular motion sensor (pMMS) is feasible for integration into fMRI settings.
- This technology enables real-time monitoring of subject movements, facilitating more sophisticated fMRI study designs.
- The pMMS offers a pathway to deeper understanding of neurophysiology and improved rehabilitation strategies.

