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Keywords:

  • spin-echo;
  • partial echo acquisition;
  • echo predictor;
  • contrast-to-noise ratio

Abstract

A linear prediction (LP) filter derived from a complete echo with zero-phase encoding amplitude is used for recovering anatomical details from a partially acquired echo sequence. The LP filter is shown to reconstruct missing k-space phase and amplitude information, with errors sufficiently low so as to provide image reconstruction with a contrast-to-noise ratio (CNR) ≥ 3. For volume imaging using multislice acquisition, the partial-echo sequence enables more number of slices to be acquired for a given repetition time period TR. For such sequences, separate predictors are used for reconstruction of missing k-space data corresponding to each individual slice in the volume. The proposed filtering scheme is shown to achieve results comparable to other partial k-space approaches such as singularity function analysis (SFA), when the noise content is less than about 0.4%. For higher noise levels, this technique is recommended as a preprocessing step for SFA to track the singularity locations more accurately. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 1–8, 2013