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Development of a clinical magnetic resonance spectroscopy (MRS) protocol in spinal cord
The specific aim of this project is to implement and optimize a novel, cutting-edge MRS method in spinal cord to assess (micro-) structural changes in vivo in cervical and lumbar cord.
Traumatic Spinal cord injury (SCI) leads to immediate sensorimotor and autonomic dysfunction below the level of injury. Following traumatic SCI, extensive upstream morphometric changes (i.e., volume loss) occur throughout the first year after the injury.
Remote cellular changes that may underlie the observed morphometric changes are largely unknown. Thus, there is a need to improve our understanding of the biochemical basis of reorganizational and neurodegenerative processes above and below the level of injury which leads to remote atrophy and clinical impairment. Magnetic resonance spectroscopy (MRS) is an advanced non-invasive quantitative MR technique that provides chemical and biophysical information by measuring the absolute or relative concentration of molecules in the brain and spinal cord. to characterize the dynamics of metabolic changes associated with neurodegeneration and neuroinflammation and provide new metabolic biomarkers.
Traumatic Spinal cord injury (SCI) leads to immediate sensorimotor and autonomic dysfunction below the level of injury. Following traumatic SCI, extensive upstream morphometric changes (i.e., volume loss) occur throughout the first year after the injury. Remote cellular changes that may underlie the observed morphometric changes are largely unknown. Thus, there is a need to improve our understanding of the biochemical basis of reorganizational and neurodegenerative processes above and below the level of injury which leads to remote atrophy and clinical impairment. Magnetic resonance spectroscopy (MRS) is an advanced non-invasive quantitative MR technique that provides chemical and biophysical information by measuring the absolute or relative concentration of molecules in the brain and spinal cord. to characterize the dynamics of metabolic changes associated with neurodegeneration and neuroinflammation and provide new metabolic biomarkers.
The specific aim of this project is to implement and optimize a novel, cutting-edge MRS method in spinal cord to assess metabolic changes in vivo in cervical and lumbar cord.
The candidate will incorporate available cutting-edge MRS technology into a clinical applicable protocol for measuring SCI patients in future as well as test and optimise the developed post-processing pipe-line.
Person specification
• With a study background in Biomedical Engineering, Computational Biology, Health Science, Bioinformatics, Neuroscience, Biomedical science or an equivalent field
• A strong interest in medical image and signal processing
• Strong analytical skills and MATLAB programming skills
• Good communication skills in English, German will be a plus
• A strong work ethic, with the ability to think creatively and work independently
The specific aim of this project is to implement and optimize a novel, cutting-edge MRS method in spinal cord to assess metabolic changes in vivo in cervical and lumbar cord.
The candidate will incorporate available cutting-edge MRS technology into a clinical applicable protocol for measuring SCI patients in future as well as test and optimise the developed post-processing pipe-line.
Person specification • With a study background in Biomedical Engineering, Computational Biology, Health Science, Bioinformatics, Neuroscience, Biomedical science or an equivalent field • A strong interest in medical image and signal processing • Strong analytical skills and MATLAB programming skills • Good communication skills in English, German will be a plus • A strong work ethic, with the ability to think creatively and work independently
If you are interested in this project, please email your CV to maryam.seif@balgrist.ch with the subject line of “Balgrist MRS Project”.
If you are interested in this project, please email your CV to maryam.seif@balgrist.ch with the subject line of “Balgrist MRS Project”.