Name
Title | ||
|---|---|---|
Interval change analysis in temporal pairs of mammograms using a local affine transformation |
Abstract | ||
|---|---|---|
The aim of this study is to evaluate the use of a local affine transformation for computer-aided interval change analysis in mammography. A multistage regional registration technique was developed for identifying masses on temporal pairs of mammograms. In the first stage, the breast images from the current and prior mammograms were globally aligned. An initial fan-shape search region was defined on the prior mammogram. In the second stage, the location of the fan-shape region was refined by warping, based on an affine transformation and simplex optimization. A new refined search region was defined on the prior mammogram. In the third stage a search for the best match between the lesion template from the current mammogram and a structure on the prior mammogram was carried out within the search region. This technique was evaluated on 124 temporal pairs of mammograms containing biopsy-proven masses. Eighty-six percent of the estimated lesion locations resulted in an area overlap of at least 50% with the true lesion locations. The average distance between the estimated and the true centroid of the lesions on the prior mammogram was 4.4 +/- 5.9 mm. The registration accuracy was improved in comparison with our previous study that used a data set of 74 temporal pairs of mammograms. This improvement gain is mainly from the local affine transformation. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1117/12.387748 | Proceedings of SPIE |
Keywords | Field | DocType |
computer-aided diagnosis,interval changes,affine transform,correlation,mutual information,mammography,malignancy | Affine transformation,Computer vision,Mammography,Image warping,Simplex algorithm,Artificial intelligence,Geography,Change analysis,Centroid,Computing systems | Conference |
Volume | ISSN | Citations |
3979 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lubomir M Hadjiiski | 1 | 162 | 51.43 |
| Heang-Ping Chan | 2 | 408 | 93.38 |
| Berkman Sahiner | 3 | 224 | 66.72 |
| Nicholas Petrick | 4 | 209 | 42.63 |
| Mark A. Helvie | 5 | 114 | 27.11 |
| Sophie Paquerault | 6 | 10 | 4.25 |
| Chuan Zhou | 7 | 75 | 35.06 |