Correspondence of closest gradient voxels - A robust registration algorithm

John L. Ostuni, Ronald L. Levin, Joseph A. Frank, Charles DeCarli

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

A robust, automatic volume registration algorithm based on intensity gradients is presented. This algorithm can successfully perform registrations under conditions of unrelated intervolume voxel intensities, significant object displacements, and/or significant amounts of missing data. It also allows the user to visualize the registration convergence, clearly illustrating any source of registration errors. This algorithm consists of a matching algorithm based on iteratively finding the correspondence of the closest voxels containing a high three-dimensional intensity gradient magnitude. This algorithm was tested by registering T2-weighted MR volumes that had undergone varying displacement transformations to simultaneously acquired proton-density volumes. These transformations involved rotations of up to 25°followed by translations of up to 25 mm along the axis of rotation. For all registrations, the mean registration error was less than one-fifth of a voxel and the mean registration time was less than 30 minutes. In conclusion, this algorithm is shown to be a powerful method of sequence- independent MR volume registration that is simple to both use and understand.

Original languageEnglish (US)
Pages (from-to)410-415
Number of pages6
JournalJournal of Magnetic Resonance Imaging
Volume7
Issue number2
DOIs
StatePublished - Mar 1997
Externally publishedYes

Keywords

  • Automatic Gradient matching
  • Closest gradients
  • Registration
  • Robust
  • Sequence independent

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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