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Diffusion weighted MRI by spatiotemporal encoding: analytical description and in vivo validations.

Eddy Solomon1, Noam Shemesh, Lucio Frydman

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Summary

This study introduces diffusion-weighted SPEN (dSPEN) MRI sequences, offering robust imaging in challenging heterogeneous environments. dSPEN provides accurate diffusion measurements where conventional methods fail, enhancing microstructure analysis.

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Area of Science:

  • Magnetic Resonance Imaging
  • Biomedical Engineering
  • Medical Physics

Background:

  • Diffusion-weighted (DW) MRI is crucial for tissue microstructure analysis but struggles with magnetic field and chemical shift heterogeneities.
  • Conventional DW MRI techniques are limited in regions with significant image distortions, impacting diagnostic accuracy.
  • Accurate DW MRI relies on high-quality images and precise b-value assessment.

Purpose of the Study:

  • To develop and validate novel SPEN-based MRI sequences for robust diffusion-weighted imaging.
  • To establish a formalism for analyzing diffusion-weighted SPEN (dSPEN) data in heterogeneous environments.
  • To demonstrate the in vivo application and advantages of dSPEN for diffusion mapping in challenging human tissues.

Main Methods:

  • Proposed novel SPEN sequences designed for inherent robustness to magnetic field offsets.
  • Developed a formalism to analyze dSPEN data, accounting for adiabatic pulses, imaging/diffusion gradients, and their cross-terms.
  • Validated analytical b-value derivations through phantom and ex vivo spinal cord experiments, followed by in vivo human breast imaging.

Main Results:

  • SPEN sequences demonstrate inherent robustness to field and chemical shift heterogeneities.
  • Analytical derivations of b-values for dSPEN show excellent agreement with experimental validations.
  • In vivo human breast imaging showcases dSPEN's superior performance over conventional DW echo planar imaging in heterogeneous systems.

Conclusions:

  • dSPEN offers increased robustness compared to conventional DW echo planar imaging in heterogeneous systems.
  • The developed methodology enables accurate diffusion measurements in challenging environments.
  • dSPEN represents a valuable advancement for medium- and high-field diffusion MRI, particularly in complex biological tissues.