Prospective motion detection and re-acquisition in diffusion MRI using a phase image-based method-Application to brain and tongue imaging

Magn Reson Med. 2021 Aug;86(2):725-737. doi: 10.1002/mrm.28729. Epub 2021 Mar 4.


Purpose: To develop an image-based motion-robust diffusion MRI (dMRI) acquisition framework that is able to minimize motion artifacts caused by rigid and nonrigid motion, applicable to both brain and tongue dMRI.

Methods: We developed a novel prospective motion-correction technique in dMRI using a phase image-based real-time motion-detection method (PITA-MDD) with re-acquisition of motion-corrupted images. The prospective PITA-MDD acquisition technique was tested in the brains and tongues of volunteers. The subjects were instructed to move their heads or swallow, to induce motion. Motion-detection efficacy was validated against visual inspection as the gold standard. The effect of the PITA-MDD technique on diffusion-parameter estimates was evaluated by comparing reconstructed fiber tracts using tractography with and without re-acquisition.

Results: The prospective PITA-MDD technique was able to effectively and accurately detect motion-corrupted data as compared with visual inspection. Tractography results demonstrated that PITA-MDD motion detection followed by re-acquisition helps in recovering lost and misshaped fiber tracts in the brain and tongue that would otherwise be corrupted by motion and yield erroneous estimates of the diffusion tensor.

Conclusion: A prospective PITA-MDD technique was developed for dMRI acquisition, providing improved dMRI image quality and motion-robust diffusion estimation of the brain and tongue.

Keywords: brain; diffusion MRI; motion artifacts; prospective motion correction; tongue; tractography.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Artifacts
  • Brain* / diagnostic imaging
  • Diffusion Magnetic Resonance Imaging*
  • Humans
  • Image Processing, Computer-Assisted
  • Motion
  • Prospective Studies
  • Tongue / diagnostic imaging