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Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Slice-level diffusion encoding for motion and distortion correction.

Jana Hutter1, Daan J Christiaens1, Torben Schneider2

  • 1Centre for the developing Brain, King's College London, London, UK.

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|July 4, 2018
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Summary
This summary is machine-generated.

This study introduces a novel diffusion MRI method that improves motion and distortion correction. The technique enhances image quality for microstructural modeling, especially in challenging fetal imaging.

Keywords:
DiffusionEPIFoetal imagingMRIMicrostructureMotion correction

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Area of Science:

  • Medical Imaging
  • Neuroscience
  • Biophysics

Background:

  • Diffusion MRI requires high sensitivity and resolution for microstructural modeling.
  • Conventional methods face challenges with motion and geometric distortion in acquired images.
  • Current diffusion imaging uses a one-volume-one-encoding paradigm with single-shot Echo Planar Imaging.

Purpose of the Study:

  • To address motion and geometric distortion challenges in diffusion MRI.
  • To propose a new method breaking the conventional one-volume-one-encoding paradigm.
  • To enable free choice of diffusion encoding on a slice level for improved temporal sampling.

Main Methods:

  • Implemented a novel diffusion MRI acquisition strategy with slice-level encoding flexibility.
  • Achieved higher temporal sampling of low b-value slices for robust motion correction.
  • Incorporated a reversed phase-encoded echo for dynamic distortion correction.

Main Results:

  • Validated the proposed method on phantom, adult, and fetal subjects.
  • Demonstrated equivalence in diffusion quantities compared to conventional methods.
  • Showcased significant benefits in distortion and motion correction accuracy.

Conclusions:

  • The new diffusion MRI approach offers superior motion and distortion correction.
  • This method enhances applicability to various diffusion MRI studies, including fetal imaging.
  • The technique is compatible with advanced acquisition parameters like multiband imaging.