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Chemical exchange saturation transfer (CEST) imaging with fast variably-accelerated sensitivity encoding (vSENSE).

Yi Zhang1, Hye-Young Heo1,2, Dong-Hoon Lee1

  • 1Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.

Magnetic Resonance in Medicine
|July 2, 2016
PubMed
Summary

A new variably-accelerated sensitivity encoding (vSENSE) method significantly speeds up chemical exchange saturation transfer (CEST) imaging. This advanced technique allows for faster data acquisition and more accurate results compared to conventional SENSE methods.

Keywords:
amide proton transfer (APT)brain tumorchemical exchange saturation transfer (CEST)sensitivity encoding (SENSE)variably-accelerated sensitivity encoding (vSENSE)

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Area of Science:

  • Magnetic Resonance Imaging
  • Biomedical Engineering
  • Medical Physics

Background:

  • Chemical exchange saturation transfer (CEST) imaging is crucial for various clinical applications.
  • Current CEST imaging techniques face limitations due to lengthy scan times, hindering widespread clinical adoption.
  • The need for faster and more accurate CEST acquisition methods is paramount for improved diagnostic capabilities.

Purpose of the Study:

  • To introduce and evaluate a novel variably-accelerated sensitivity encoding (vSENSE) method for accelerated CEST imaging.
  • To demonstrate that vSENSE can overcome the time constraints of conventional CEST acquisition.
  • To compare the performance of vSENSE against conventional SENSE in terms of speed and accuracy.

Main Methods:

  • The vSENSE method involves fully sampling one CEST saturation frame and variably undersampling others.
  • It utilizes incoherence absorption and artifact suppression strategies to enhance sensitivity map accuracy.
  • Validation was performed using a phantom, a healthy volunteer, and eight brain tumor patients at 3 Tesla.

Main Results:

  • vSENSE achieved acceleration factors of 2-4, resulting in 3-6 times less error compared to conventional SENSE (P≤0.02).
  • vSENSE enabled four-fold acceleration for amide proton transfer-weighted images, whereas conventional SENSE was limited to two-fold.
  • Conventional SENSE with vSENSE's undersampling pattern led to approximately 9% erroneous z-spectra.

Conclusions:

  • The vSENSE method offers a significant improvement in acceleration, achieving twice the speed of conventional SENSE.
  • vSENSE generates more accurate images, enhancing the reliability of CEST imaging.
  • This novel method holds promise for faster and more efficient clinical application of CEST imaging.