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Tissue motion estimation using dictionary learning: application to cardiac amyloidosis

Ouzir, Nora Leïla and Lairez, Olivier and Basarab, Adrian and Tourneret, Jean-Yves Tissue motion estimation using dictionary learning: application to cardiac amyloidosis. (2017) In: IEEE International Ultrasonics Symposium (IUS 2017), 6 September 2017 - 9 September 2017 (Washington, United States).

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Official URL: https://doi.org/10.1109/ULTSYM.2017.8092152

Abstract

Cardiac strain estimation from ultrasound images is an efficient tool for the diagnosis of cardiac diseases. This study focuses on cardiac amyloidosis, a pathology characterized by non-specific early symptoms such as the increased wall thickness. Recent clinical studies have demonstrated that patients with cardiac amyloidosis present an apex-to-base gradient longitudinal strain pattern, i.e., a normal strain in apex and abnormally lower values for base segments. Existing cardiac motion estimation methods belong to three categories based on optical flow, speckle tracking and elastic registration. To overcome the ill-posedness of motion estimation, they use local parametric models (e.g., affine) or global regularizations (e.g., B-splines). The objective of this study is to evaluate a recently proposed cardiac motion estimation method based on dictionary learning on patients subjected to cardiac amyloidosis.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of IUS 2017. Electronic ISBN: 978-1-5386-3383-0 Electronic ISBN: 978-1-5386-3383-0 The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8092152 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-02871331
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Institut National de la Santé et de la Recherche Médicale - INSERM (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Centre Hospitalier Universitaire de Toulouse - CHU Toulouse (FRANCE)
Laboratory name:
Funders:
ANR : Agence nationale de la recherche (France) - CIMI : Centre International de Mathématiques et d’Informatique (France) - ProSmart Solutions à Meudon (France)
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Deposited On:10 Jun 2020 08:08

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