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Publication Detail
A computationally efficient OMP based compressed sensing reconstruction for dynamic MRI
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Usman M, Prieto C, Odille F, ATKINSON D, Schaeffter T, Batchelor PG
  • Publication date:
  • Pagination:
    N99, N114
  • Journal:
    Physics in Medicine and Biology
  • Volume:
  • Issue:
  • Status:
  • Keywords:
    MR reconstruction, Compressed Sensing, Orthogonal Matching Pursuit (OMP), y-f space
Compressed sensing (CS) methods in MRI are computationally intensive. Thus, designing novel CS algorithms that can perform faster reconstructions is crucial for everyday applications. We propose a computationally efficient orthogonal matching pursuit (OMP) based reconstruction, specifically suited to cardiac MR data. According to the energy distribution of y-f space obtained from a sliding window reconstruction, we label the y-f space as static or dynamic. For static y-f space images, a computationally efficient masked OMP reconstruction is performed, whereas for dynamic y-f space images, standard OMP reconstruction is used. The proposed method was tested on a dynamic numerical phantom and two cardiac MR data sets. Depending on the field of view (FOV) composition of the imaging data, compared to the standard OMP method, reconstruction speed up factors ranging from 1.5 to 2.5 are achieved.
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