Back to Search Start Over

A Methodology for Registration of a Histological Slide and In Vivo MRI Volume Based on Optimizing Mutual Information

Authors :
Charles R. Meyer
Bradford A. Moffat
Kyle K. Kuszpit
Peyton L. Bland
Paul E. Mckeever
Timothy D. Johnson
Thomas L. Chenevert
Alnawaz Rehemtulla
Brian D. Ross
Source :
Molecular Imaging, Vol 5 (2006)
Publication Year :
2006
Publisher :
SAGE Publications, 2006.

Abstract

We present a method for registering histology and in vivo imaging that requires minimal microtoming and is automatic following the user's initialization. In this demonstration, we register a single hematoxylin-and-eosin-stained histological slide of a coronal section of a rat brain harboring a 9L gliosarcoma with an in vivo 7T MR image volume of the same brain. Because the spatial resolution of the in vivo MRI is limited, we add the step of obtaining a high spatial resolution, ex vivo MRI in situ for intermediate registration. The approach taken was to maximize mutual information in order to optimize the registration between all pairings of image data whether the sources are MRI, tissue block photograph, or stained sample photograph. The warping interpolant used was thin plate splines with the appropriate basis function for either 2-D or 3-D applications. All registrations were implemented by user initialization of the approximate pose between the two data sets, followed by automatic optimization based on maximizing mutual information. Only the higher quality anatomical images were used in the registration process; however, the spatial transformation was directly applied to a quantitative diffusion image. Quantitative diffusion maps from the registered location appeared highly correlated with the H&E slide. Overall, this approach provides a robust method for coregistration of in vivo images with histological sections and will have broad applications in the field of functional and molecular imaging.

Details

Language :
English
ISSN :
15360121
Volume :
5
Database :
Directory of Open Access Journals
Journal :
Molecular Imaging
Publication Type :
Academic Journal
Accession number :
edsdoj.64dec93697c64337a712b0ba277ad2c8
Document Type :
article
Full Text :
https://doi.org/10.2310/7290.2006.00002