Diffusion Imaging in the Post HCP Era

Steen Moeller, Pramod Pisharady Kumar, Jesper Andersson, Mehmet Akcakaya, Noam Harel, Ruoyun Ma, Xiaoping Wu, Essa Yacoub, Christophe Lenglet, Kamil Ugurbil

Research output: Contribution to journalReview articlepeer-review

15 Scopus citations


Diffusion imaging is a critical component in the pursuit of developing a better understanding of the human brain. Recent technical advances promise enabling the advancement in the quality of data that can be obtained. In this review the context for different approaches relative to the Human Connectome Project are compared. Significant new gains are anticipated from the use of high-performance head gradients. These gains can be particularly large when the high-performance gradients are employed together with ultrahigh magnetic fields. Transmit array designs are critical in realizing high accelerations in diffusion-weighted (d)MRI acquisitions, while maintaining large field of view (FOV) coverage, and several techniques for optimal signal-encoding are now available. Reconstruction and processing pipelines that precisely disentangle the acquired neuroanatomical information are established and provide the foundation for the application of deep learning in the advancement of dMRI for complex tissues. Level of Evidence: 3. Technical Efficacy Stage: Stage 3.

Original languageEnglish (US)
Pages (from-to)36-57
Number of pages22
JournalJournal of Magnetic Resonance Imaging
Issue number1
Early online dateJun 20 2020
StatePublished - Jun 20 2020

Bibliographical note

Funding Information:
Grant funding NIH P41 EB027061, NIH U01-EB025144, and NSF CAREER CCF-1651825

Funding Information:
Grant funding NIH P41 EB027061, NIH U01‐EB025144, and NSF CAREER CCF‐1651825 1

Publisher Copyright:
© 2020 International Society for Magnetic Resonance in Medicine


  • diffusion imaging
  • human connectome project
  • ultra high field

Center for Magnetic Resonance Research (CMRR) tags

  • BFC
  • IRP
  • P41


Dive into the research topics of 'Diffusion Imaging in the Post HCP Era'. Together they form a unique fingerprint.

Cite this