Two-dimensional blind Bayesian deconvolution of medical ultrasound images

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Volumn 55, Issue 10, 2008, Pages 2140-2153

  Jiřík, Radovan ^a   Taxt, Torfinn ^a,b  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

^b UNIVERSITY OF BERGEN   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC IMAGING; BAYESIAN NETWORKS; DECONVOLUTION; IMAGE ENHANCEMENT; IMAGE QUALITY; PROBABILITY DENSITY FUNCTION; ULTRASONIC IMAGING; ULTRASONICS;

ADDITIONAL CONSTRAINTS; ADDITIVE WHITE NOISES; BAYESIAN; BAYESIAN FRAMEWORKS; BLIND DECONVOLUTION; CEPSTRUM; CLINICAL IMAGES; DECONVOLUTION ALGORITHMS; FREQUENCY IMAGES; INITIAL ESTIMATES; INPUT IMAGES; ITERATIVE OPTIMIZATIONS; MEDICAL ULTRASOUND IMAGES; NEW APPROACHES; PROJECTION OPERATORS; REAL-TIME APPLICATIONS; SPATIAL RESOLUTIONS; SPREAD FUNCTIONS; TISSUE FUNCTIONS; TISSUE STRUCTURES; ULTRASONIC;

CONVOLUTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 54049083516     PISSN: 08853010     EISSN: None     Source Type: Journal    
DOI: 10.1109/TUFFC.914     Document Type: Article

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