Assessing algorithms for defining vascular architecture in subharmonic images of breast lesions

Physics in Medicine and Biology

Volumn 56, Issue 4, 2011, Pages 919-930

  Eisenbrey, John R ^a   Joshi, Neha ^a,b   Dave, Jaydev K ^a,b   Forsberg, Flemming ^a  

^a THOMAS JEFFERSON UNIVERSITY   (United States)

^b DREXEL UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENIGN LESION; BREAST LESION; DISTANCE TRANSFORMATION; HIGH DEGREE OF VARIABILITY; IN-VITRO TESTS; MAXIMUM INTENSITIES; PARALLEL THINNING; REAL TIME; SAMPLE SIZES; SUBHARMONICS; THINNING ALGORITHM; TISSUE SIGNALS; ULTRASOUND IMAGING; VASCULAR ARCHITECTURE; VASCULATURE;

DATA REDUCTION; PIXELS;

ALGORITHMS;

ALGORITHM; ARTICLE; BLOOD VESSEL; BREAST TUMOR; ECHOGRAPHY; HUMAN; IMAGE PROCESSING; METHODOLOGY; VASCULARIZATION;

ALGORITHMS; BLOOD VESSELS; BREAST NEOPLASMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED;

EID: 79551712358     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/56/4/003     Document Type: Article

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