An inverse problem approach for elasticity imaging through vibroacoustics

IEEE Transactions on Medical Imaging

Volumn 29, Issue 4, 2010, Pages 1012-1021

  Aguilo, Miguel A ^a   Aquino, Wilkins ^a   Brigham, John C ^b   Fatemi, Mostafa ^c  

^a School of Operations Research and Industrial Engineering   (United States)

^b University of Pittsburgh   (United States)

^c MAYO CLINIC   (United States)

Author keywords

Elasticity imaging; Inverse problem; Radial basis functions; Ultrasound; Vibroacoustography

Indexed keywords

ACOUSTIC PRESSURES; ACOUSTIC-STRUCTURE INTERACTION; BIOLOGICAL STRUCTURES; BREAST TISSUES; COMPACT SUPPORT; ELASTICITY IMAGING; FINITE-ELEMENT REPRESENTATION; FREQUENCY DOMAINS; GAUSSIAN RADIAL BASIS FUNCTIONS; INVERSE CHARACTERIZATION; OPTIMIZATION ALGORITHMS; OPTIMIZATION PROBLEMS; RADIAL BASIS FUNCTIONS; SMOOTH FUNCTIONS; SOFT BIOLOGICAL TISSUE; SPATIAL DISTRIBUTION; SPATIAL VARIATIONS; STATE DYNAMICS; SURFACE VELOCITY; VIBROACOUSTICS; VIBROACOUSTOGRAPHY; YOUNG'S MODULUS;

ACOUSTIC FIELDS; BIOMINERALIZATION; BOUNDARY ELEMENT METHOD; COUPLED CIRCUITS; DYNAMIC RESPONSE; ELASTICITY; FINITE ELEMENT METHOD; IMAGE SEGMENTATION; INVERSE PROBLEMS; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; SIZE DISTRIBUTION; TISSUE; ULTRASONIC APPLICATIONS; ULTRASONICS;

ELASTIC MODULI;

ACOUSTICS; ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ELASTOGRAPHY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NORMAL DISTRIBUTION; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; VIBRATION; YOUNG MODULUS;

ACOUSTICS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ELASTIC MODULUS; ELASTICITY IMAGING TECHNIQUES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VIBRATION;

EID: 77950449615     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2039225     Document Type: Article

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