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Proceedings Paper

Edge preserving image smoothing using nonlinear diffusion and a semi-local edge detection technique in digital mammography images
Author(s): Mark M. Roden; Lawrence W. Bassett; Daniel Valentino
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Paper Abstract

Digital mammography images often contain noise proportional to the dose given to the patient. The signal to noise ratio is typically improved by increasing the dose as noise reduction methods tend to blur clinically important edges and details, such as fibers or calcifications. A new algorithm is presented to reduce noise while preserving features relevant in digital mammography and allowing for an overall reduction of patient dose.

Paper Details

Date Published: 27 March 2009
PDF: 12 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725926 (27 March 2009); doi: 10.1117/12.812370
Show Author Affiliations
Mark M. Roden, Univ. of California, Los Angeles (United States)
iCRco, Inc. (United States)
Lawrence W. Bassett, David Geffen School of Medicine, Univ. of California, Los Angeles (United States)
Daniel Valentino, David Geffen School of Medicine, Univ. of California, Los Angeles (United States)
iCRco, Inc. (United States)


Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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