A strategy for magnetic resonance imaging of the head: results of a semi-empirical model. Part I.

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Abstract
This paper is an introduction to lesion detection problems of MR. A mathematical model previously developed for normal anatomy was extended to predict the appearance of any hypothetical lesion in magnetic resonance (MR) images of the head. The model is applied to selected [human] 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.

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