Edge preserving image smoothing using nonlinear diffusion and a semi-local edge detection technique in digital mammography images

Mark M. Roden; Lawrence W. Bassett M.D.; Daniel Valentino

doi:10.1117/12.812370

27 March 2009 Edge preserving image smoothing using nonlinear diffusion and a semi-local edge detection technique in digital mammography images

Mark M. Roden, Lawrence W. Bassett M.D., Daniel Valentino

Author Affiliations +

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 725926 (2009) https://doi.org/10.1117/12.812370
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

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Mark M. Roden, Lawrence W. Bassett M.D., and Daniel Valentino "Edge preserving image smoothing using nonlinear diffusion and a semi-local edge detection technique in digital mammography images", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725926 (27 March 2009); https://doi.org/10.1117/12.812370

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