Automatic segmentation of invasive breast carcinomas from dynamic contrast-enhanced MRI using time series analysis

Journal of Magnetic Resonance Imaging

Volumn 40, Issue 2, 2014, Pages 467-475

  Jayender, Jagadaeesan ^a   Chikarmane, Sona ^a   Jolesz, Ferenc A ^a   Gombos, Eva ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

breast carcinomas; DCE MRI; linear dynamic system; segmentation; time series analysis

Indexed keywords

GADOLINIUM PENTETATE MEGLUMINE; CONTRAST MEDIUM; GADOLINIUM PENTETATE;

ADULT; AGED; ALGORITHM; ARTICLE; BREAST CARCINOMA; CLINICAL ARTICLE; DATA ANALYSIS SOFTWARE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HUMAN; LINEAR DYNAMIC SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RADIOLOGIST; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; STANDARD; SUSCEPTIBILITY WEIGHTED IMAGING; TIME SERIES ANALYSIS; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; DIAGNOSTIC USE; IMAGE ENHANCEMENT; MIDDLE AGED; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; TUMOR INVASION;

ADULT; AGED; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; CONTRAST MEDIA; FEMALE; GADOLINIUM DTPA; HUMANS; IMAGE ENHANCEMENT; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; NEOPLASM INVASIVENESS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84904539188     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.24394     Document Type: Article

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