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Related Concept Videos

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Related Experiment Video

Updated: May 31, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Collaborative Reconstruction of PROPELLER-EPI Data Using POCSMUSE (CORPUSE) for High-Fidelity Diffusion MRI.

Hailin Xiong1, Liyuan Liang1,2, Shihui Chen1,2

  • 1Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.

Magnetic Resonance in Medicine
|May 30, 2026
PubMed
Summary

The CORPUSE framework enhances diffusion-tensor imaging (DTI) by improving image quality and efficiency in DW-PROPELLER-EPI scans. This novel approach allows for high-resolution DTI with fewer blades, reducing artifacts and motion sensitivity.

Keywords:
DTINyquist ghost correctionPROPELLER‐EPImultishot DWIoff‐resonance correction

Related Experiment Videos

Last Updated: May 31, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Diffusion Imaging
  • Image Reconstruction

Background:

  • Diffusion-weighted imaging (DWI) is crucial for assessing tissue microstructure.
  • PROPELLER-EPI techniques improve motion robustness but face challenges with acceleration and artifacts.
  • Efficient, high-resolution DWI is needed for clinical applications.

Purpose of the Study:

  • Develop a reconstruction framework (CORPUSE) for multiblade DW-PROPELLER-EPI.
  • Improve image quality, SNR efficiency, and reduce artifacts under acceleration.
  • Enable high-resolution DTI with fewer blades.

Main Methods:

  • CORPUSE is a joint reconstruction framework adapted from POCSMUSE for multiblade DW-PROPELLER-EPI.
  • Integrates distortion-correction and exploits multiblade sampling redundancy.
  • Uses phase errors and field maps as physics-based constraints for reconstruction.

Main Results:

  • CORPUSE improved image sharpness, geometric fidelity, and reconstruction quality compared to conventional methods.
  • Enabled higher per-blade acceleration and wider blades without compromising image quality.
  • Demonstrated superior motion resilience compared to multiplexed sensitivity encoding (MUSE).

Conclusions:

  • CORPUSE framework enables high-resolution, high-quality DTI with fewer blades.
  • Improves practicality and efficiency of DW-PROPELLER-EPI.
  • Offers a robust, efficient alternative to other multishot diffusion imaging approaches.