Fujifilm Medical Systems USA reported that a new algorithm could be accurately applied to automatically calculate and classify the density of breast tissue using CR mammography. The study also found that the results can be accurately displayed to the reader and that the method performs consistently, irrespective of image exposure levels, according to the Stamford, CT-based vendor.
Performed by a team of Fuji researchers, the study was conducted using 504 images from 126 cases, with four images acquired per case using Fuji's CR mammography technology. The density of all images was evaluated by both unaided radiologists, as well as by the algorithm, which automatically estimates breast tissue density based on the relative densities of the pectoralis muscle and the fat in its immediate vicinity.
The researchers found a high degree of correlation with density categorizations calculated by the algorithm and by the radiologists. The method consistently detected variances in breast tissue composition, regardless of the exposure levels, according to Fuji.
Furthermore, the correlation remained high for all cases studied, despite age or breast composition, Fuji said. The research team presented the data at the 7th International Workshop on Digital Mammography, held n June in Durham, NC.
By AuntMinnie.com staff writers
July 1, 2004
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