Testing a wavelet based noise reduction method using computer-simulated mammograms

Christoph Hoeschen; Oleg Tischenko; David R. Dance; Roger A. Hunt; Andrew D. A. Maidment; Predrag R. Bakic

doi:10.1117/12.595806

20 April 2005 Testing a wavelet based noise reduction method using computer-simulated mammograms

Christoph Hoeschen, Oleg Tischenko, David R. Dance, Roger A. Hunt, Andrew D. A. Maidment, Predrag R. Bakic

Proceedings Volume 5745, Medical Imaging 2005: Physics of Medical Imaging; (2005) https://doi.org/10.1117/12.595806
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

A wavelet based method of noise reduction has been tested for mammography using computer-simulated images for which the truth is known exactly. This method is based on comparing two images at different scales, using a cross-correlation-function as a measure of similarity to define the image modifications in the wavelet domain. The computer-simulated images were calculated for noise-free primary radiation using a quasi-realistic voxel phantom. Two images corresponding to slightly different geometry were produced. Gaussian noise was added with a mean value of zero and a standard deviation equal to 0.25% to 10% of the actual pixel value to simulate quantum noise with a certain level. The added noise could be reduced by more than 70% using the proposed method without any noticeable corruption of the structures for 4% added noise. The results indicate that it is possible to save 50% dose in mammography by producing two images (each 25% of the dose for a standard mammogram). Additionally, a reduction or even a removal of the anatomical noise might be possible and therefore better detection rates of breast cancer in mammography might be achievable.

Citation Download Citation

Christoph Hoeschen, Oleg Tischenko, David R. Dance, Roger A. Hunt, Andrew D. A. Maidment, and Predrag R. Bakic "Testing a wavelet based noise reduction method using computer-simulated mammograms", Proc. SPIE 5745, Medical Imaging 2005: Physics of Medical Imaging, (20 April 2005); https://doi.org/10.1117/12.595806

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available