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Publication Detail
A Multi-Path Approach to Histology Volume Reconstruction
  • Publication Type:
  • Authors:
    Pichat J, Modat M, Yousry T, Ourselin S
  • Publisher:
    IEEE International Symposium on Biomedical Imaging
  • Name of conference:
    IEEE International Symposium on Biomedical Imaging: From Nano to Macro
  • Conference place:
    New York, US
  • Conference start date:
  • Conference finish date:
  • Addresses:
    Translational Imaging Group
    Centre for Medical Image Computing, University College London
    United Kingdom

    Dementia Research Center
    UCL Institute of Neurology
    United Kingdom

    Department of Brain Repair and Rehabilitation
    UCL Institute of Neurology
    United Kingdom
This paper presents a method for correcting erratic pairwise registrations when reconstructing a volume from 2D histology slices. Due to complex and unpredictable alterations of the content of histology images, a pairwise rigid registration between two adjacent slices may fail systematically. Conversely, a neighbouring registration, which potentially involves one of these two slices, will work. This grounds our approach: using correct spatial correspondences established through neighbouring registrations to account for direct failures. We propose to search the best alignment of every couple of adjacent slices from a finite set of transformations that involve neighbouring slices in a transitive fashion. Using the proposed method, we obtained reconstructed volumes with increased coherence compared to the classical pairwise approach, both in synthetic and real data.
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