Image space automatic motion correction for MRI images

Armando Manduca, David S. Lake, Natalia Khaylova, Richard Lorne Ehman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automatic retrospective motion correction algorithms based on iterative optimization of an image quality measure have been demonstrated in a variety of MRI acquisitions. These algorithms are computationally intensive and may require several minutes per image or more. One computational bottleneck is the need for an inverse FFT at each iteration to reconstruct and evaluate the image. We describe a method for performing the iterative search primarily in image space, greatly reducing the number of FFTs required This can significantly increase the computational speed, particularly when the evaluation is performed only on a sub-region of the image.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsJ.M. Fitzpatrick, M. Sonka
Pages390-397
Number of pages8
Volume5370 I
DOIs
StatePublished - 2004
EventProgress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing - San Diego, CA, United States
Duration: Feb 16 2004Feb 19 2004

Other

OtherProgress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing
CountryUnited States
CitySan Diego, CA
Period2/16/042/19/04

    Fingerprint

Keywords

  • Image quality
  • Motion artifacts
  • Motion correction
  • MRI
  • Optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Manduca, A., Lake, D. S., Khaylova, N., & Ehman, R. L. (2004). Image space automatic motion correction for MRI images. In J. M. Fitzpatrick, & M. Sonka (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 5370 I, pp. 390-397) https://doi.org/10.1117/12.532952