Cardiac motion estimation by joint alignment of tagged MRI sequences

Medical Image Analysis

Volumn 16, Issue 1, 2012, Pages 339-350

  Oubel, E ^a,b   De Craene, M ^a,b   Hero, A O ^d   Pourmorteza, A ^e   Huguet, M ^f   Avegliano, G ^g   Bijnens, B H ^a,b,c   Frangi, A F ^a,b,c  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^c UNIVERSITY OF SHEFFIELD   (United Kingdom)

^d UNIVERSITY OF MICHIGAN   (United States)

^e JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f Centre Cardiovascular CETIR Sant Jordi   (Spain)

^g INSTITUTO CARDIOVASCULAR DE BUENOS AIRES   (Argentina)

Author keywords

Entropic graphs; MR tagging; Myocardial deformation analysis; Non rigid registration

Indexed keywords

AUTOMATIC METHOD; CARDIAC MOTION ESTIMATION; CLINICAL APPLICATION; DEFORMATION MODELS; DISPLACEMENT FIELD; ENTROPIC GRAPHS; GRAPH-BASED; IMAGE ALIGNMENT; K-NEAREST NEIGHBORS; LINEAR COMBINATIONS; MR TAGGING; MYOCARDIAL DEFORMATION ANALYSIS; MYOCARDIAL INFARCTION; NONRIGID REGISTRATION; PAIRWISE ALIGNMENT; POSITIONAL ERRORS; PRACTICAL PROBLEMS; TAGGED MRI;

ALIGNMENT; COST FUNCTIONS; DEFORMATION; ESTIMATION; HEART; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; MEDICAL PROBLEMS; STRAIN; THREE DIMENSIONAL;

MOTION ESTIMATION;

ACCURACY; ADULT; AGED; ARTICLE; CARDIOVASCULAR MAGNETIC RESONANCE; CONTROLLED STUDY; ENTROPY; ERROR; FEMALE; HEART INFARCTION; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; JOINT IMAGE ALIGNMENT; K NEAREST NEIGHBOR; MALE; MOTION ANALYSIS SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; TAGGED NUCLEAR MAGNETIC RESONANCE IMAGING; VARIANCE;

ARTIFACTS; CARDIAC-GATED IMAGING TECHNIQUES; ELASTIC MODULUS; ELASTICITY IMAGING TECHNIQUES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; MYOCARDIAL INFARCTION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 82355181047     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2011.09.001     Document Type: Article

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