Date of Award
Thesis - Restricted
Master of Science (MS)
Electrical and Computer Engineering
A general method is presented for automatically analyzing in-vivo NMR spectroscopic data. The method takes as input complex time domain data, then automatically and independently preprocesses the data for input to a neural network. The network can then be trained to recognize different signatures in a training set and extrapolate those signatures to data from outside the training set. Examples are presented to illustrate concepts and procedure.
Lloyd, Charles F., "Neural Network Applications in Magnetic Resonance Spectroscopy" (1992). Master's Theses (1922-2009) Access restricted to Marquette Campus. 5016.