A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures

Autor: Francoise Preteux, Nicolas Rougon, Philippe Grenier, Caroline Petitjean, Philippe Cluzel
Přispěvatelé: Département Advanced Research And Techniques For Multidimensional Imaging Systems ( ARTEMIS ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes ( LITIS ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ) -Université de Rouen Normandie ( UNIROUEN ), Normandie Université ( NU ) -Institut national des sciences appliquées Rouen Normandie ( INSA Rouen Normandie ), Normandie Université ( NU ), École des Mines de Paris, Service de radiologie, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Service de Radiologie Polyvalente Diagnostique et Interventionnelle, Département Advanced Research And Techniques For Multidimensional Imaging Systems (ARTEMIS), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Jazyk: angličtina
Rok vydání: 2005
Předmět:
Male
MESH: Myocardial Contraction
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Myocardial Ischemia
MESH : Myocardial Ischemia
[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing
030218 nuclear medicine & medical imaging
Mr tagging
0302 clinical medicine
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Image Processing
Computer-Assisted
Computer vision
MESH : Female
MR tagging
MESH : Algorithms
MESH : Myocardial Contraction
[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Mathematics
Radiological and Ultrasound Technology
MESH: Magnetic Resonance Imaging
Cine
MESH : Adult
MESH : Magnetic Resonance Imaging
Cine
MESH: Image Processing
Computer-Assisted
Computer Graphics and Computer-Aided Design
MESH: Myocardial Ischemia
Female
Computer Vision and Pattern Recognition
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Algorithms
MESH : Image Processing
Computer-Assisted
Adult
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing
Computation
MESH : Male
Magnetic Resonance Imaging
Cine
MESH: Algorithms
Health Informatics
Non-rigid registration
03 medical and health sciences
Motion estimation
Medical imaging
Humans
Radiology
Nuclear Medicine and imaging
MESH: Humans
business.industry
MESH : Humans
Cardiac motion analysis
Generalized information measures
MESH: Adult
Myocardial function
Myocardial Contraction
MESH: Male
Artificial intelligence
business
MESH: Female
030217 neurology & neurosurgery
Zdroj: Medical Image Analysis
Medical Image Analysis, Elsevier, 2005, 9 (4), pp.353-75. 〈10.1016/j.media.2005.01.005〉
Medical Image Analysis, Elsevier, 2005, 9 (4), pp.353-75. ⟨10.1016/j.media.2005.01.005⟩
ISSN: 1361-8415
1361-8423
DOI: 10.1016/j.media.2005.01.005〉
Popis: International audience; We address the problem of quantitatively assessing myocardial function from tagged MRI sequences. We develop a two-step method comprising (i) a motion estimation step using a novel variational non-rigid registration technique based on generalized information measures, and (ii) a measurement step, yielding local and segmental deformation parameters over the whole myocardium. Experiments on healthy and pathological data demonstrate that this method delivers, within a reasonable computation time and in a fully unsupervised way, reliable measurements for normal subjects and quantitative pathology-specific information. Beyond cardiac MRI, this work redefines the foundations of variational non-rigid registration for information-theoretic similarity criteria with potential interest in multimodal medical imaging.
Databáze: OpenAIRE
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