Sparse-SEMAC: rapid and improved SEMAC metal implant imaging using SPARSE-SENSE acceleration. Academic Article uri icon

Overview

abstract

  • PURPOSE: To develop an accelerated SEMAC metal implant MRI technique (Sparse-SEMAC) with reduced scan time and improved metal distortion correction. METHODS: Sparse-SEMAC jointly exploits the inherent sparsity along the additional phase-encoding dimension and multicoil encoding capabilities to significantly accelerate data acquisition. A prototype pulse sequence with pseudorandom ky -kz undersampling and an inline image reconstruction was developed for integration in clinical studies. Three patients with hip implants were imaged using the proposed Sparse-SEMAC with eight-fold acceleration and compared with the standard-SEMAC technique used in clinical studies (three-fold GRAPPA acceleration). Measurements were performed with SEMAC-encoding steps (SES) = 15 for Sparse-SEMAC and SES = 9 for Standard-SEMAC using high spatial resolution Proton Density (PD) and lower-resolution STIR acquisitions. Two expert musculoskeletal (MSK) radiologists performed a consensus reading to score image-quality parameters. RESULTS: Sparse-SEMAC enables up to eight-fold acceleration of data acquisition that results in two-fold scan time reductions, compared with Standard-SEMAC, with improved metal artifact correction for patients with hip implants without degrading spatial resolution. CONCLUSION: The high acceleration enabled by Sparse-SEMAC would enable clinically feasible examination times with improved correction of metal distortion. Magn Reson Med 78:79-87, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

authors

  • Otazo, Ricardo
  • Nittka, Mathias
  • Bruno, Mary
  • Raithel, Esther
  • Geppert, Christian
  • Gyftopoulos, Soterios
  • Recht, Michael
  • Rybak, Leon

publication date

  • July 25, 2016

Research

keywords

  • Algorithms
  • Artifacts
  • Image Enhancement
  • Magnetic Resonance Imaging
  • Metals
  • Prostheses and Implants
  • Signal Processing, Computer-Assisted

Identity

PubMed Central ID

  • PMC5266741

Scopus Document Identifier

  • 84979254585

Digital Object Identifier (DOI)

  • 10.1002/mrm.26342

PubMed ID

  • 27454003

Additional Document Info

volume

  • 78

issue

  • 1