Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings
| Autor: | Brecht Heyde, Olivier Bernard, Szymon Cygan, Martino Alessandrini, Sandro Queirós, Oudom Somphone, Matthew O'Donnell, Mathieu De Craene, Daniel Barbosa, Hervé Delingette, Maria Zontak, Jan D'hooge, Maxime Sermesant |
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| Přispěvatelé: | Rayet, Béatrice, Laboratory of Cardiovascular Imaging and Dynamics, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Life and Health Sciences Research Institute [Braga] (ICVS), University of Minho [Braga], Warsaw University of Technology [Warsaw], Department of Bioengineering [Seattle], University of Washington [Seattle], MedisysResearch Lab (Medisys), Philips Research, Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Analysis and Simulation of Biomedical Images (ASCLEPIOS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), ICVS/3B's, PT Government Associate Laboratory, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2016 |
| Předmět: |
Computer science
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging Optical flow ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION [INFO.INFO-IM] Computer Science [cs]/Medical Imaging Echocardiography Three-Dimensional 030204 cardiovascular system & hematology Tracking (particle physics) Field (computer science) 030218 nuclear medicine & medical imaging Set (abstract data type) 03 medical and health sciences Speckle pattern 0302 clinical medicine medicine [INFO.INFO-IM]Computer Science [cs]/Medical Imaging Humans 3D ultrasound Computer vision Electrical and Electronic Engineering [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Contrast (statistics) Heart Computer Science Applications [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging Artificial intelligence business Algorithm [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Software Algorithms |
| Zdroj: | IEEE Transactions on Medical Imaging IEEE Transactions on Medical Imaging, 2016, 35 (8), pp.1915-1926. ⟨10.1109/TMI.2016.2537848⟩ IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2016, 35 (8), pp.1915-1926. ⟨10.1109/TMI.2016.2537848⟩ |
| ISSN: | 1558-254X 1915-1926 0278-0062 |
| DOI: | 10.1109/TMI.2016.2537848⟩ |
| Popis: | A plethora of techniques for cardiac deformation imaging with 3D ultrasound, typically referred to as 3D speckle tracking techniques, are available from academia and industry. Although the benefits of single methods over alternative ones have been reported in separate publications, the intrinsic differences in the data and definitions used makes it hard to compare the relative performance of different solutions. To address this issue, we have recently proposed a framework to simulate realistic 3D echocardiographic recordings and used it to generate a common set of ground-truth data for 3D speckle tracking algorithms, which was made available online. The aim of this study was therefore to use the newly developed database to contrast non-commercial speckle tracking solutions from research groups with leading expertise in the field. The five techniques involved cover the most representative families of existing approaches, namely block-matching, radio-frequency tracking, optical flow and elastic image registration. The techniques were contrasted in terms of tracking and strain accuracy. The feasibility of the obtained strain measurements to diagnose pathology was also tested for ischemia and dyssynchrony. ispartof: IEEE Transactions on Medical Imaging vol:35 issue:8 pages:1915-1926 ispartof: location:United States status: published |
| Databáze: | OpenAIRE |
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