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.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 48-57 |
| Number of pages | 10 |
| Volume | 6978 LNCS |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 16th International Conference on Image Analysis and Processing, ICIAP 2011 - Ravenna, Italy Duration: Sep 14 2011 → Sep 16 2011 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 6978 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 16th International Conference on Image Analysis and Processing, ICIAP 2011 |
|---|---|
| Country | Italy |
| City | Ravenna |
| Period | 9/14/11 → 9/16/11 |
Fingerprint
Keywords
- Breast
- DCE-MRI
- ROI selection
- segmentation
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Selection of suspicious ROIs in breast DCE-MRI. / Fusco, Roberta; Sansone, Mario; Sansone, Carlo; Petrillo, Antonella.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6978 LNCS PART 1. ed. 2011. p. 48-57 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6978 LNCS, No. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Selection of suspicious ROIs in breast DCE-MRI
AU - Fusco, Roberta
AU - Sansone, Mario
AU - Sansone, Carlo
AU - Petrillo, Antonella
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Breast
KW - DCE-MRI
KW - ROI selection
KW - segmentation
UR - http://www.scopus.com/inward/record.url?scp=80053010960&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053010960&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24085-0_6
DO - 10.1007/978-3-642-24085-0_6
M3 - Conference contribution
AN - SCOPUS:80053010960
SN - 9783642240843
VL - 6978 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 48
EP - 57
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -