Generation of Realistic 4D Synthetic CSPAMM Tagged MR Sequences for Benchmarking Cardiac Motion Tracking Algorithms
| Autor: | Maxime Sermesant, Oudom Somphone, Yitian Zhou, Mathieu De Craene, Olivier Bernard |
|---|---|
| Přispěvatelé: | Harvard Medical School [Boston] (HMS), MedisysResearch Lab (Medisys), Philips Research, 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), 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), 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) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science Pipeline (computing) Benchmarking 030204 cardiovascular system & hematology Tracking (particle physics) computer.software_genre Synthetic data 030218 nuclear medicine & medical imaging 03 medical and health sciences ComputingMethodologies_PATTERNRECOGNITION 0302 clinical medicine Voxel Cardiac motion Cardiac deformation Computer vision Artificial intelligence business computer Algorithm [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Normal heart ComputingMilieux_MISCELLANEOUS |
| Zdroj: | International Workshop on Simulation and Synthesis in Medical Imaging International Workshop on Simulation and Synthesis in Medical Imaging, Oct 2016, Athens, Greece. pp.108-117, ⟨10.1007/978-3-319-46630-9_11⟩ Simulation and Synthesis in Medical Imaging ISBN: 9783319466293 SASHIMI@MICCAI |
| DOI: | 10.1007/978-3-319-46630-9_11⟩ |
| Popis: | This paper introduces a novel pipeline for synthesizing realistic 3D+t CSPAMM cardiac tagged magnetic resonance (MR) images. The proposed framework is based on the combination of an electro-mechanical model for generating cardiac deformation fields and a template tagging recording for assigning realistic voxel intensities. We developed a spatio-temporal alignment strategy for mapping voxel positions in the simulation space to the template recording space. As a preliminary result, we generated a synthetic dataset of a normal heart, and further compared the performance of two state-of-the-art cardiac motion tracking algorithms using this synthetic data. In this study, we aim at showing the capability of the proposed pipeline to simulate realistic cardiac tagged MR images, and its extension to more synthetic cases especially pathological ones are currently left to future work. |
| Databáze: | OpenAIRE |
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