MRI-PET registration with automated algorithm

R. P. Woods, J. C. Mazziotta, S. R. Cherry

Research output: Contribution to journalArticlepeer-review

1430 Scopus citations

Abstract

Objective: We have previously reported an automated method for within- modality (e.g., PET-to-PET) image alignment. We now describe modifications to this method that allow for cross-modality registration of MRI and PET brain images obtained from a single subject. Methods: This method does not require fiducial markers and the user is not required to identify common structures on the two image sets. To align the images, the algorithm seeks to minimize the standard deviation of the PET pixel values that correspond to each MRI pixel value. The MR images must be edited to exclude nonbrain regions prior to using the algorithm. Results and Conclusion: The method has been validated quantitatively using data from patients with stereotaxic fiducial markers rigidly fixed in the skull. Maximal three-dimensional errors of <3 mm and mean three-dimensional errors of <2 mm were measured. Computation time on a SPARCstation IPX varies from 3 to 9 min to align MR image sets with [18F]fluorodeoxyglucose PET images. The MR alignment with noisy H2 15O PET images typically requires 20-30 min.

Original languageEnglish (US)
Pages (from-to)536-546
Number of pages11
JournalJournal of Computer Assisted Tomography
Volume17
Issue number4
StatePublished - 1993
Externally publishedYes

Keywords

  • Coregistration
  • Emission computed tomography
  • Image registration
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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