Quantitative evaluation of breast CT reconstruction by means of figures of merit based on similarity metrics

Published: Oct 1, 2017
Abstract
Iterative CT reconstruction algorithms coupled with edge-preserving filters are attracting a growing interest in the field of biomedical X-ray imaging. In many cases such algorithms demonstrate improved reconstruction quality compared with analytical reconstruction algorithms, for instance in the case of measurements with a reduced number of projections. Their performance is often evaluated on test phantoms using conventional figures of merit,...
Paper Details
Title
Quantitative evaluation of breast CT reconstruction by means of figures of merit based on similarity metrics
Published Date
Oct 1, 2017
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