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Real-time cardiac MRI with radial acquisition and k-space variant reduced-FOV reconstruction

Authors
  • Li, Yu Y.1, 2
  • Rashid, Shams1
  • Cheng, Yang J.1
  • Schapiro, William1
  • Gliganic, Kathleen1
  • Yamashita, Ann-Marie1
  • Tang, John1
  • Grgas, Marie1
  • Mendez, Michelle1
  • Haag, Elizabeth1
  • Pang, Jianing3
  • Stoeckel, Bernd3
  • Leidecker, Christianne3
  • Cao, J. Jane1, 4
  • 1 Cardiac Imaging, DeMatteis Center for Cardiac Research and Education, St. Francis Hospital, New York, United States
  • 2 Radiology and Biomedical Engineering, Stony Brook University, New York, United States
  • 3 Siemens Healthneers, Siemens Medical Solutions USA, Inc., United States
  • 4 Clinical Medicine, Stony Brook University, New York, United States
Type
Published Article
Journal
Magnetic resonance imaging
Publication Date
Jul 20, 2018
Volume
53
Pages
98–104
Identifiers
DOI: 10.1016/j.mri.2018.07.008
PMID: 30036652
PMCID: PMC6425753
Source
PubMed Central
Keywords
License
Unknown

Abstract

This work aims to demonstrate that radial acquisition with k-space variant reduced-FOV reconstruction can enable real-time cardiac MRI with an affordable computation cost. Due to non-uniform sampling, radial imaging requires k-space variant reconstruction for optimal performance. By converting radial parallel imaging reconstruction into the estimation of correlation functions with a previously-developed correlation imaging framework, Cartesian k-space may be reconstructed point-wisely based on parallel imaging relationship between every Cartesian datum and its neighboring radial samples. Furthermore, reduced-FOV correlation functions may be used to calculate a subset of Cartesian k-space data for image reconstruction within a small region of interest, making it possible to run real-time cardiac MRI with an affordable computation cost. In a stress cardiac test where the subject is imaged during biking with a heart rate of > 100 bpm, this k-space variant reduced-FOV reconstruction is demonstrated in reference to several radial imaging techniques including gridding, GROG and SPIRiT. It is found that the k-space variant reconstruction outperforms gridding, GROG and SPIRiT in real-time imaging. The computation cost of reduced-FOV reconstruction is ~2 times higher than that of GROG. The presented work provides a practical solution to real-time cardiac MRI with radial acquisition and k-space variant reduced-FOV reconstruction in clinical settings.

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