An Overcomplete Enhancement of Digital Mammograms.
Annual rept. 1 Aug 97-31 Jul 98,
FLORIDA UNIV GAINESVILLE
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This report describes our recent progress in the development of methodology for providing radiologists with a better viewing environment to facilitate the interpretation of mammograms. Our research has been targeting local enhancement of features of diagnostic importance and their fusion for an improved visualization in mammography. After computing a multiscale directional derivative based wavelet decomposition, the transform coefficients are separately processed for enhancement of microcalcifications, circumscribed masses, and stellate lesions. The modified coefficients are then fused for reconstruction of an enhanced image with improved visibility of mammographic features. Both processing for enhancement of selected features and fusion of the resultant images are accomplished within a single wavelet transform framework, a fact which contributes to the computational efficiency of the derived method. The devised algorithm not only allows for efficient combination of specific features of importance in the contrast enhanced images, but also provides a flexible framework for incorporation of different enhancement methods and their independent optimization.
- Anatomy and Physiology
- Medicine and Medical Research