A strategy for magnetic resonance imaging of the head: results of a semi-empirical model. Part I.
This paper is an introduction to lesion detection problems of MR. A mathematical model previously developed for normal anatomy has been extended to predict the appearance of any hypothetical lesion in magnetic resonance (MR) images of the head. The model is applied to selected clinical images to demonstrate the loss of lesion visibility attributable to "crossover" and "boundary effect". The model is also used to explain the origins of these problems, and to demonstrate that appropriate gray-scale manipulations can remedy these problems. Specifically, pulse sequences that cause lesions to be the brightest tissue in the image are shown to eliminate the problems of crossover and boundary effect.
D001927:Brain Diseases / Q000175:diagnosis*; D001932:Brain Neoplasms / Q000175:diagnosis*; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008959:Models, Neurological; D009103:Multiple Sclerosis / Q000175:diagnosis; D010911:Pituitary Neoplasms / Q000175:diagnosis