Name
Abstract | ||
|---|---|---|
•Two gradient-based breast MRI-mammography registration algorithms are proposed.•Gradient-based methods are compared to a traditional intensity-based method.•Patient-specific models are used to mimic the mammographic acquisition.•Pose and elasticity of the model is optimized using a reduced search space.•The correlation between the registration error and factor of interest are evaluated. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.media.2019.02.013 | Medical Image Analysis |
Keywords | Field | DocType |
Breast cancer,Multimodal registration,X-ray mammography,MRI | Mammography,Normalization (statistics),X-ray,Pattern recognition,Similarity measure,Segmentation,Breast MRI,Artificial intelligence,Partial volume,Mathematics,Magnetic resonance imaging | Journal |
Volume | ISSN | Citations |
54 | 1361-8415 | 0 |
PageRank | References | Authors |
0.34 | 5 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eloy García | 1 | 0 | 1.69 |
| Yago Diez | 2 | 45 | 11.50 |
| oliver diaz | 3 | 1 | 3.33 |
| Xavier Llado | 4 | 578 | 40.04 |
| Albert Gubern-Mérida | 5 | 133 | 12.95 |
| Robert Martí | 6 | 206 | 17.19 |
| Joan Martí | 7 | 405 | 43.68 |
| Arnau Oliver | 8 | 1034 | 83.82 |