Name
Abstract | ||
|---|---|---|
Dual energy methods can suppress the contrast between adipose and glandular tissues in the breast and therefore enhance the visibility of calcifications. In this study, a dual energy method based on analytical modeling was developed for the detection of minimum microcalcification thickness. To this aim, a modified radiographic X-ray unit was considered, in order to overcome the limited kVp range of mammographic units used in previous DE studies, combined with a high resolution CMOS sensor (pixel size of 22.5 mu m) for improved resolution. Various filter materials were examined based on their K-absorption edge. Hydroxyapatite (HAp) was used to simulate microcalcifications. The contrast to noise ratio (CNRtc) of the subtracted images was calculated for both monoenergetic and polyenergetic X-ray beams. The optimum monoenergetic pair was 23/58 keV for the low and high energy, respectively, resulting in a minimum detectable microcalcification thickness of 100 mu m. In the polyenergetic X-ray study, the optimal spectral combination was 40/70 kVp filtered with 100 mu m cadmium and 1000 mu m copper, respectively. In this case, the minimum detectable microcalcification thickness was 150 mu m. The proposed dual energy method provides improved microcalcification detectability in breast imaging with mean glandular dose values within acceptable levels. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1155/2015/574238 | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE |
Field | DocType | Volume |
Biomedical engineering,Nuclear medicine,Breast imaging,Computer science,CMOS sensor,Radiography,Artificial intelligence,Computer vision,Mammography,Microcalcification,Signal-to-noise ratio,Pixel,Contrast-to-noise ratio | Journal | 2015 |
ISSN | Citations | PageRank |
1748-670X | 1 | 0.36 |
References | Authors | |
5 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vaia Koukou | 1 | 1 | 0.36 |
| Niki Martini | 2 | 1 | 0.36 |
| Christos Michail | 3 | 1 | 0.70 |
| Panagiota Sotiropoulou | 4 | 1 | 0.36 |
| Christina Fountzoula | 5 | 1 | 0.36 |
| Nektarios Kalyvas | 6 | 1 | 0.70 |
| Ioannis Kandarakis | 7 | 1 | 0.36 |
| George Nikiforidis | 8 | 16 | 2.77 |
| George Fountos | 9 | 1 | 0.36 |