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 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.
| Original language | English |
|---|---|
| Pages (from-to) | 81-84 |
| Number of pages | 4 |
| Journal | Radiation Protection Dosimetry |
| Volume | 114 |
| Issue number | 1-3 |
| DOIs | |
| Publication status | Published - 2005 |
| Externally published | Yes |
Subject classification (UKÄ)
- Medical Engineering
