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Co-Registration of MRI and Autoradiography of Rat Brain in Three-Dimensions Following Automatic Reconstruction of 2D Data Set

  • Boklye Kim
  • Kirk A. Frey
  • Sunil Mukhopadhyay
  • Brian D. Ross
  • Charles R. Meyer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 905)

Abstract

Brain images obtained in 2DG-autoradiography have been reconstructed into 3D volumes for the purpose of accurate three dimensional registration with MRI data to obtain spatially registered, histologic “truth” data. Modalities were chosen to closely model the current clinical interest in correlation of MRI and FDG-PET imaging. An automatic 2D-registration algorithm that takes into account variations in sample orientation and shearing has been developed for accurate alignment of brain slices. It uses a multivariate optimization algorithm on the peak correlation between the gradient filtered autoradiograph image and the corresponding video image of the specimen’s block face. Registration of the reconstructed 2DG-autoradiography volume data with 3D reconstructed in vivo multislice MRI of rat brains was accomplished with a 3D registration algorithm utilizing user identified homologous feature pairs consisting of points, line segments, and planar patches.

Keywords

Block Face Planar Patch Magnetic Resonance Imaging Volume Reconstructed Magnetic Resonance Imaging Block Face Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Boklye Kim
    • 1
  • Kirk A. Frey
    • 2
  • Sunil Mukhopadhyay
    • 2
  • Brian D. Ross
    • 1
  • Charles R. Meyer
    • 1
  1. 1.Department of RadiologyUniversity of Michigan Medical CenterAnn ArborUSA
  2. 2.Department of Internal MedicineUniversity of Michigan Medical CenterThis work supported in part by DHHS PHS NIH 1RO1USA

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