Fast automatic correction of motion artifacts in shoulder MRI

A. Manduca, K. P. McGee, E. B. Welch, J. P. Felmlee, R. L. Ehman

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

The ability to correct certain types of MR images for motion artifacts from the raw data alone by iterative optimization of an image quality measure has recently been demonstrated. In the first study on a large data set of clinical images, we showed that such an "autocorrection" technique significantly improved the quality of clinical rotator cuff images, and performed almost as well as navigator echo correction while never degrading an image. One major criticism of such techniques is that they are computationally intensive, and reports of the processing time required have ranged from a few minutes to tens of minutes per slice. In this paper we describe a variety of improvements to our algorithm as well as approaches to correct sets of adjacent slices efficiently. The resulting algorithm is able to correct 256×256×20 clinical shoulder data sets for motion at an effective rate of 1 second/image on a standard commercial workstation. Future improvements in processor speeds and/or the use of specialized hardware will translate directly to corresponding reductions in this calculation time.

Original languageEnglish (US)
Pages (from-to)853-859
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4322
Issue number2
DOIs
StatePublished - Jan 1 2001
EventMedical Imaging 2001 Image Processing - San Diego, CA, United States
Duration: Feb 19 2001Feb 22 2001

Keywords

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

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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