Selection of suspicious ROIs in breast DCE-MRI

Roberta Fusco, Mario Sansone, Carlo Sansone, Antonella Petrillo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages48-57
Number of pages10
Volume6978 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2011
Event16th International Conference on Image Analysis and Processing, ICIAP 2011 - Ravenna, Italy
Duration: Sep 14 2011Sep 16 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6978 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other16th International Conference on Image Analysis and Processing, ICIAP 2011
CountryItaly
CityRavenna
Period9/14/119/16/11

Keywords

  • Breast
  • DCE-MRI
  • ROI selection
  • segmentation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'Selection of suspicious ROIs in breast DCE-MRI'. Together they form a unique fingerprint.

Cite this