title: Edited 31P brain spectra using maximum entropy data processing.
abstract: Strategies for estimating peak areas in 31P brain spectra are discussed, and the widespread convolution difference method is analyzed. The Skilling maximum entropy method (MEM) algorithm is applied to in vivo spectra and provides an estimate of the spectrum that is operator-independent, although at the expense of some negative bias. It may be possible to overcome this bias.
mesh_terms: D000818:Animals; D001923:Brain Chemistry; D009682:Magnetic Resonance Spectroscopy / Q000379:methods; D051381:Rats