A novel approach to the 2-D blind deconvolution problem in medical ultrasound

IEEE Transactions on Medical Imaging

Volumn 24, Issue 1, 2005, Pages 86-104

  Michailovich, Oleg V ^a   Adam, Dan ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Blind deconvolution; De noising; Ultrasound; Wavelet transform

Indexed keywords

ACOUSTIC TRANSDUCERS; APPROXIMATION THEORY; BANDWIDTH; FOURIER TRANSFORMS; TISSUE; ULTRASONICS; WAVELET TRANSFORMS;

ACOUSTIC BEAMS; BLIND DECONVOLUTION; DE-NOISING;

MEDICAL PROBLEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ECHOGRAPHY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 11844304157     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2004.838326     Document Type: Article

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