A concept of mathematical methods for the optimization of the post-processing of nuclear resonance spectra of the human skeletal musculature

摘要

By means of 31{sup left}P nuclear magnetic resonance (NMR) spectroscopy, metabolic conditions and changes in the resting and moving (human) musculature can be measured. Applications range from the examination of myopathies to the analysis of the composition of muscle fibers of competitive athletes. A vast amount of measurements of human skeletal muscles acquired using the 31{sup left}P-NMR spectroscopy is waiting at hand to be processed. As manual processing of a single spectrum requires about half an hour of work form an exercised human analyzer several man-years of work are needed to do the job. Therefore a concept for the automatic post-processing of data acquired by 31{sup left}P-NMR spectroscopy is presented.