Optimal tag pattern validation using magnetic resonance imaging

T. S. Denney, Jerry Ladd Prince, M. J. Lopez, E. R. McVeigh

Research output: Contribution to journalArticle

Abstract

Magnetic resonance (MR) tagging is a technique used to impose a known intensity pattern, called a tag pattern, on an object by spatially modulating the object's proton spin density before the image is acquired. Since the tag pattern moves with the object, MR tagging is particularly useful in the estimation of deformable motion from MR image sequences because some tag patterns can resolve motion ambiguities such as the aperture problem and improve the accuracy of optical flow motion estimates. We present an experimental validation of the tag pattern optimization method of Denney and Prince (see Proc. of the IEEE Int'l Conf. Acoustics, Speech, and Signal Processing, p.V225-V228, Minneapolis, April 1993, and IEEE Transactions on Image Processing, vol.3, no.2, p.178-191, March 1994) in a practical MR imaging environment. This experiment includes a study of the effects of temporal sampling on the optimal frequency that was not done by Denney et. al. Our experimental results show that the tag pattern optimization method of Denney et. al. is valid in a practical MR imaging application.

Original languageEnglish (US)
Article number413441
Pages (from-to)881-885
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume1
DOIs
StatePublished - 1994

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ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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