Mammogram synthesis using a 3D simulation. II. Evaluation of synthetic mammogram texture
Creators
- 1. Department of Radiology, Thomas Jefferson University, Suite 3390, Gibbon Building, 111 South 11th Street, Philadelphia, Pennsylvania 19107-5563 (United States)
- 2. Office of Integrative Activities, National Science Foundation, Arlington, Virginia 22230 (United States)
Description
We have evaluated a method for synthesizing mammograms by comparing the texture of clinical and synthetic mammograms. The synthesis algorithm is based upon simulations of breast tissue and the mammographic imaging process. Mammogram texture was synthesized by projections of simulated adipose tissue compartments. It was hypothesized that the synthetic and clinical texture have similar properties, assuming that the mammogram texture reflects the 3D tissue distribution. The size of the projected compartments was computed by mathematical morphology. The texture energy and fractal dimension were also computed and analyzed in terms of the distribution of texture features within four different tissue regions in clinical and synthetic mammograms. Comparison of the cumulative distributions of the mean features computed from 95 mammograms showed that the synthetic images simulate the mean features of the texture of clinical mammograms. Correlation of clinical and synthetic texture feature histograms, averaged over all images, showed that the synthetic images can simulate the range of features seen over a large group of mammograms. The best agreement with clinical texture was achieved for simulated compartments with radii of 4-13.3 mm in predominantly adipose tissue regions, and radii of 2.7-5.33 and 1.3-2.7 mm in retroareolar and dense fibroglandular tissue regions, respectively
Additional details
Identifiers
- DOI
- 10.1118/1.1501144;
Publishing Information
- Journal Title
- Medical Physics
- Journal Volume
- 29
- Journal Issue
- 9
- Journal Page Range
- p. 2140-2151
- ISSN
- 0094-2405
- CODEN
- MPHYA6
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 35001974
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- BIOMEDICAL RADIOGRAPHY; CARCINOMAS; COMPUTER GRAPHICS; DIAGNOSIS; FRACTALS; IMAGE PROCESSING; MAMMARY GLANDS
- Descriptors DEC
- BODY; DIAGNOSTIC TECHNIQUES; DISEASES; GLANDS; MEDICINE; NEOPLASMS; NUCLEAR MEDICINE; ORGANS; PROCESSING; RADIOLOGY
Optional Information
- Notes
- (c) 2002 American Association of Physicists in Medicine.