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Novel ultrasound imaging approaches for assessment of skeletal muscle structure and function in health and disease

   Musculoskeletal Science and Sports Medicine

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  Prof E Hodson-Tole  No more applications being accepted  Awaiting Funding Decision/Possible External Funding

About the Project

Human skeletal muscles are composed of many fibres that, on excitation by the nervous system, contract and produce mechanical force to move the skeleton. The fibres within individual muscles are grouped into distinct functional units, motor units (MUs), and the properties and behaviours of MUs change with age, disease and injury. Electromyography (EMG) is commonly used to study MU properties and behaviours. However, force production relies on excitation and subsequent mechanical contraction of the muscle fibres. EMG alone cannot reveal these mechanical effects, and this represents a gap in the tools available to study this important feature of muscle function.

We have developed some initial ultrasound image analysis tools for assessment of these mechanical effects. The proposed project will therefore harness machine learning image analysis approaches to enhance our initial tool, extending their application and scope and working towards translation to wider research use and clinical practice.

The project is expected to start in October 2022, and the successful candidate will become a part of our Musculoskeletal Science and Sports Medicine Research Centre.

Full details including how to apply available at: https://www.mmu.ac.uk/research/research-study/scholarships#ai-59495-2

Funding Notes

Fully-funded PhD (home fees), stipend paid at UKRI rate (2022/23 rate £16,062). Expected start date October 2022.

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