Learning to estimate out-of-plane motion in ultrasound imagery of real tissue

Medical Image Analysis

Volumn 15, Issue 2, 2011, Pages 202-213

  Laporte, Catherine ^a,b   Arbel, Tal ^a  

^a MCGILL UNIVERSITY   (Canada)

^b ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

Machine learning; Speckle decorrelation; Tissue modelling; Ultrasound

Indexed keywords

ANIMAL TISSUE; CORRELATION LENGTHS; FREEHAND 3D ULTRASOUND; GAUSSIAN PROCESS REGRESSION; IMAGE CONTENT; IMAGE REGISTRATION TECHNIQUES; IMAGE STATISTICS; IN-PLANE; IN-PLANE MOTION; MACHINE-LEARNING; NOVEL METHODS; OUT-OF-PLANE MOTION; POSITION TRACKING; RELATIVE POSITIONS; SPECKLE DECORRELATION; STATE-OF-THE-ART METHODS; TRAINING SETS; TRANSDUCER MOTION; ULTRASOUND; ULTRASOUND IMAGERY;

HEURISTIC METHODS; LAKES; LEARNING SYSTEMS; SPECKLE; TISSUE; TRANSDUCERS; ULTRASONICS;

THREE DIMENSIONAL;

ANIMAL TISSUE; ARTICLE; IMAGE ANALYSIS; KERNEL METHOD; MACHINE LEARNING; MOTION; NONHUMAN; PHANTOM; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; THREE DIMENSIONAL IMAGING; ULTRASOUND; ULTRASOUND TRANSDUCER;

ALGORITHMS; ANIMALS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PHANTOMS, IMAGING; ULTRASONOGRAPHY;

EID: 79851508766     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2010.08.006     Document Type: Article

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