A Novel Data-Driven Method for the Analysis and Reconstruction of Cardiac Cine MRI

Nourelhouda Groun; Maria Villalba-Orero; Enrique Lara-Pezzi; Eusebio Valero; Jesus Garicano-Mena; Soledad Le Clainche

A Novel Data-Driven Method for the Analysis and Reconstruction of Cardiac Cine MRI

Image and Video Processing 2022-05-25 v1 Medical Physics

Authors: Nourelhouda Groun , Maria Villalba-Orero , Enrique Lara-Pezzi , Eusebio Valero , Jesus Garicano-Mena , Soledad Le Clainche

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Abstract

Cardiac cine magnetic resonance imaging (MRI) can be considered the optimal criterion for measuring cardiac function. This imaging technique can provide us with detailed information about cardiac structure, tissue composition and even blood flow. This work considers the application of the higher order dynamic mode decomposition (HODMD) method to a set of MR images of a heart, with the ultimate goal of identifying the main patterns and frequencies driving the heart dynamics. A novel algorithm based on singular value decomposition combined with HODMD is introduced, providing a three-dimensional reconstruction of the heart. This algorithm is applied (i) to reconstruct corrupted or missing images, and (ii) to build a reduced order model of the heart dynamics.

Keywords

cardiac cine mri higher order dynamic mode decomposition singular value decomposition image reconstruction reduced order model data-driven method

Cite

@article{arxiv.2205.12097,
  title  = {A Novel Data-Driven Method for the Analysis and Reconstruction of Cardiac Cine MRI},
  author = {Nourelhouda Groun and Maria Villalba-Orero and Enrique Lara-Pezzi and Eusebio Valero and Jesus Garicano-Mena and Soledad Le Clainche},
  journal= {arXiv preprint arXiv:2205.12097},
  year   = {2022}
}

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10 pages, 9 figures

A Novel Data-Driven Method for the Analysis and Reconstruction of Cardiac Cine MRI

Abstract

Keywords

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