Evaluation of a novel method of noise reduction using computer-simulated mammograms
(2005) In Radiation Protection Dosimetry 114(1-3). p.81-84- Abstract
A novel 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. The images are compared 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 certain properties to simulate quantum noise. The added noise could be reduced by >70% using the proposed method without any noticeable corruption of the structures. It is... (More)
A novel 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. The images are compared 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 certain properties to simulate quantum noise. The added noise could be reduced by >70% using the proposed method without any noticeable corruption of the structures. 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 of the anatomical noise and, therefore, better detection rates of breast cancer in mammography are possible.
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- author
- Tischenko, Oleg ; Hoeschen, Christoph ; Dance, David R. ; Hunt, Roger A. ; Maidment, Andrew D.A. and Bakic, Predrag R. LU
- publishing date
- 2005
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Radiation Protection Dosimetry
- volume
- 114
- issue
- 1-3
- pages
- 4 pages
- publisher
- Oxford University Press
- external identifiers
-
- scopus:21244432775
- pmid:15933085
- ISSN
- 0144-8420
- DOI
- 10.1093/rpd/nch517
- language
- English
- LU publication?
- no
- id
- 389f411a-22c8-4483-8157-7f14cb033b19
- date added to LUP
- 2020-11-07 13:20:39
- date last changed
- 2024-04-17 19:33:43
@article{389f411a-22c8-4483-8157-7f14cb033b19,
abstract = {{<p>A novel 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. The images are compared 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 certain properties to simulate quantum noise. The added noise could be reduced by >70% using the proposed method without any noticeable corruption of the structures. 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 of the anatomical noise and, therefore, better detection rates of breast cancer in mammography are possible.</p>}},
author = {{Tischenko, Oleg and Hoeschen, Christoph and Dance, David R. and Hunt, Roger A. and Maidment, Andrew D.A. and Bakic, Predrag R.}},
issn = {{0144-8420}},
language = {{eng}},
number = {{1-3}},
pages = {{81--84}},
publisher = {{Oxford University Press}},
series = {{Radiation Protection Dosimetry}},
title = {{Evaluation of a novel method of noise reduction using computer-simulated mammograms}},
url = {{http://dx.doi.org/10.1093/rpd/nch517}},
doi = {{10.1093/rpd/nch517}},
volume = {{114}},
year = {{2005}},
}