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In vivo Imaging of Biological Tissues with Combined Two-Photon Fluorescence and Stimulated Raman Scattering Microscopy
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Propeller echo-planar time-resolved imaging with dynamic encoding (PEPTIDE).

Merlin J Fair1,2, Fuyixue Wang1,3, Zijing Dong1,4

  • 1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.

Magnetic Resonance in Medicine
|November 9, 2019
PubMed
Summary
This summary is machine-generated.

PROPELLER EPTI with dynamic encoding (PEPTIDE) enhances echo-planar time-resolved imaging (EPTI) for motion-robustness. This technique significantly improves image quality and quantitative mapping even with severe subject motion.

Keywords:
EPIEPTIPROPELLERdistortion-freemulticontrast

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Area of Science:

  • Magnetic Resonance Imaging
  • Image Acquisition Techniques
  • Motion Correction

Background:

  • Echo-planar time-resolved imaging (EPTI) offers rapid, distortion-free, and blur-free multicontrast imaging and quantitative mapping.
  • Existing EPTI methods can be sensitive to patient motion during acquisition.
  • Developing motion-robust imaging techniques is crucial for reliable clinical and research applications.

Purpose of the Study:

  • To develop a motion-robust extension of EPTI, named PROPELLER EPTI with dynamic encoding (PEPTIDE).
  • To incorporate k-space encoding rotations into EPTI to enable shot-to-shot motion correction.
  • To assess the robustness of PEPTIDE against various types of subject motion compared to conventional EPTI.

Main Methods:

  • PEPTIDE integrates k-space encoding rotations into the EPTI sampling strategy, repeatedly acquiring low-resolution k-space center data.
  • Retrospective PEPTIDE datasets were generated from in vivo EPTI data with rotational acquisitions for direct comparison.
  • Prospective PEPTIDE datasets were acquired and compared with EPTI under actual subject motion conditions.

Main Results:

  • PEPTIDE demonstrated significant robustness to severe subject motion, including large in-plane rotations and translational/through-plane motion (>30° rotation).
  • The technique successfully maintained the rapid encoding advantages of EPTI.
  • Accurate quantitative maps were calculable even from severely motion-corrupted datasets, with significantly improved image quality over conventional EPTI.

Conclusions:

  • The PEPTIDE technique effectively integrates high motion tolerance into the EPTI framework.
  • PEPTIDE enables rapid acquisition of distortion-free and blur-free images at multiple echo times, even in the presence of motion.
  • This advancement enhances the reliability and applicability of EPTI in challenging imaging scenarios.