Name
Abstract | ||
|---|---|---|
Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) could be helpful in screening high-risk women and in staging newly diagnosed breast cancer patients. Selection of suspicious regions of interest (ROIs) is a critical pre-processing step in DCE-MRI data evaluation. The aim of this work is to develop and evaluate a method for automatic selection of suspicious ROIs for breast DCE-MRI. The proposed algorithm includes three steps: (i) breast mask segmentation via intensity threshold estimation; (ii) morphological operations for hole-filling and leakage removal; (iii) suspicious ROIs extraction. The proposed approach has been evaluated, using adequate metrics, with respect to manual ROI selection performed, on ten patients, by an expert radiologist. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-24085-0_6 | ICIAP (1) |
Keywords | Field | DocType |
manual roi selection,breast mask segmentation,breast dce-mri,automatic selection,dce-mri data evaluation,suspicious rois,breast cancer patient,suspicious region,proposed algorithm,suspicious rois extraction,segmentation | Contrast-enhanced Magnetic Resonance Imaging,Pattern recognition,Breast cancer,Computer science,Segmentation,Artificial intelligence,Stage (cooking) | Conference |
Volume | ISSN | Citations |
6978 | 0302-9743 | 6 |
PageRank | References | Authors |
0.74 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberta Fusco | 1 | 40 | 6.68 |
| Mario Sansone | 2 | 61 | 9.22 |
| C. Sansone | 3 | 1569 | 94.00 |
| Antonella Petrillo | 4 | 33 | 11.89 |