STEP: Spatiotemporal enhancement pattern for MR-based breast tumor diagnosis

Medical Physics

Volumn 36, Issue 7, 2009, Pages 3192-3204

  Zheng, Yuanjie ^a,b   Englander, Sarah ^b   Baloch, Sajjad ^a   Zacharaki, Evangelia I ^a   Fan, Yong ^a   Schnall, Mitchell D ^c   Shen, Dinggang ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b SIEMENS CORPORATE RESEARCH   (United States)

^c UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

Breast tumor diagnosis; Classification; Dynamic contrast enhancement; Feature extraction; MRI

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; FEATURE EXTRACTION; FOURIER TRANSFORMS; GRAPH ALGORITHMS; GRAPHIC METHODS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; STATISTICAL METHODS; TEXTURES; TUMORS;

AREA UNDER THE ROC CURVE; BENIGN AND MALIGNANT TUMORS; BREAST TUMOR; DIAGNOSTIC PERFORMANCE; DYNAMIC CONTRAST ENHANCEMENT; FOURIER TRANSFORMATIONS; LEAVE-ONE-OUT CROSS VALIDATIONS; SEGMENTATION ALGORITHMS;

IMAGE ENHANCEMENT;

ALGORITHM; ARTICLE; BREAST TUMOR; CONTRAST ENHANCEMENT; DENSITY FUNCTIONAL THEORY; FOURIER TRANSFORMATION; MATHEMATICAL MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PHARMACOKINETICS; PRIORITY JOURNAL; ROC CURVE; SENSITIVITY AND SPECIFICITY; TUMOR CLASSIFICATION;

EID: 67649595528     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3151811     Document Type: Article

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