Paper
27 February 2009 Registration of in vivo MR to histology of rodent brains using blockface imaging
Mariano Uberti, Yutong Liu, Huanyu Dou, R. Lee Mosley, Howard E. Gendelman, Michael Boska
Author Affiliations +
Abstract
Registration of MRI to histopathological sections can enhance bioimaging validation for use in pathobiologic, diagnostic, and therapeutic evaluations. However, commonly used registration methods fall short of this goal due to tissue shrinkage and tearing after brain extraction and preparation. In attempts to overcome these limitations we developed a software toolbox using 3D blockface imaging as the common space of reference. This toolbox includes a semi-automatic brain extraction technique using constraint level sets (CLS), 3D reconstruction methods for the blockface and MR volume, and a 2D warping technique using thin-plate splines with landmark optimization. Using this toolbox, the rodent brain volume is first extracted from the whole head MRI using CLS. The blockface volume is reconstructed followed by 3D brain MRI registration to the blockface volume to correct the global deformations due to brain extraction and fixation. Finally, registered MRI and histological slices are warped to corresponding blockface images to correct slice specific deformations. The CLS brain extraction technique was validated by comparing manual results showing 94% overlap. The image warping technique was validated by calculating target registration error (TRE). Results showed a registration accuracy of a TRE < 1 pixel. Lastly, the registration method and the software tools developed were used to validate cell migration in murine human immunodeficiency virus type one encephalitis.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mariano Uberti, Yutong Liu, Huanyu Dou, R. Lee Mosley, Howard E. Gendelman, and Michael Boska "Registration of in vivo MR to histology of rodent brains using blockface imaging", Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 726213 (27 February 2009); https://doi.org/10.1117/12.812711
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Cited by 8 scholarly publications.
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KEYWORDS
Magnetic resonance imaging

Brain

Image registration

Neuroimaging

3D image processing

Tissues

Head

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