PURPOSE: To determine the preferences of radiologists among eight different
image processing algorithms applied to digital mammograms obtained for scr
eening and diagnostic imaging tasks.
MATERIALS AND METHODS: Twenty-eight images representing histologically prov
ed masses or calcifications were obtained by using three clinically availab
le digital mammographic units. Images were processed and printed on film by
using manual intensity windowing, histogram-based intensity windowing, mix
ture model intensity windowing, peripheral equalization, multiscale image c
ontrast amplification (MUSICA), contrast-limited adaptive histogram equaliz
ation, Trex processing, and unsharp masking. Twelve radiologists compared t
he processed digital images with screen-film mammograms obtained in the sam
e patient for breast cancer screening and breast lesion diagnosis.
RESULTS: For the screening task, screen-film mammograms were preferred to a
ll digital presentations, but the acceptability of images processed with Tr
ex and MUSICA algorithms were not significantly different. All printed digi
tal images were preferred to screen-film radiographs in the diagnosis of ma
sses; mammograms processed with unsharp masking were significantly preferre
d. For the diagnosis of calcifications, no processed digital mammogram was
preferred to screen-film mammograms.
CONCLUSION: When digital mammograms were preferred to screen-firm mammogram
s, radiologists selected different digital processing algorithms for each o
f three mammographic reading tasks and for different lesion types. Soft-cop
y display will eventually allow radiologists to select among these options
more easily.