Multiresolution reconstruction of real-time MRI with motion compensated compressed sensing: application to 2D free-breathing cardiac MRI

Javier Royuela-del-Val, Muhammad Usman, Lucilio Cordero Grande, Marcos Martín-Fernández, Federico Simmross-Wattenberg, Claudia Prieto Vasquez, Carlos Alberola-Lopez

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Abstract

Real-Time (RT) MRI is a novel noninvasive imaging technique that allows the visualization of physiological processes with both good spatial and temporal resolutions. However, the reconstruction of images from highly undersampled data, needed to perform RT imaging, remains challenging. Recently, the combination of Compressed Sensing theory with motion compensation techniques has shown to achieve better results than previous methods. In this work we describe a RT MRI algorithm based on the acquisition of the k-space data following a Golden Radial trajectory, Compressed Sensing reconstruction and a groupwise temporal registration algorithm for the estimation and compensation of the motion in the image, all this embedded within a temporal multiresolution scheme. We have applied the proposed method to the reconstruction of free-breathing acquisition of short axis views of the heart, achieving a temporal resolution of 25ms corresponding to an acceleration factor of 28 with respect to fully sampled Cartesian acquisitions.
Original languageEnglish
Article number7493318
Pages (from-to)506-509
Number of pages4
JournalInternational Symposium on Biomedical Imaging (ISBI)
Volume2016-June
DOIs
Publication statusPublished - 15 Jun 2016

Keywords

  • magnetic resonance imaging (MRI)
  • compressive sensing & sampling
  • image reconstruction
  • analytical & iterative methods

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