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Med Image Comput Comput Assist Interv ; 11(Pt 2): 1050-7, 2008.
Article in English | MEDLINE | ID: mdl-18982708

ABSTRACT

Traditional neuropathological examination provides information about neurological disease or injury of a patient at a high-resolution level. Correlating this type of post mortem diagnosis with in vivo image data of the same patient acquired by non-invasive tomographic scans greatly complements the interpretation of any disease or injury. We present the validation of a registration method for correlating macroscopic pathological images with MR images of the same patient. This also allows for 3-D mapping of the distribution of pathological changes throughout the brain. As the validation deals with datasets of widely differing sampling, we propose a method using smooth curvilinear anatomical features in the brain which allows interpolation between wide-spaced samples. Curvilinear features are common anatomically, and if selected carefully have the potential to allow determination of the accuracy of co-registration across large areas of a volume of interest.


Subject(s)
Algorithms , Brain Diseases/pathology , Brain/pathology , Image Interpretation, Computer-Assisted/methods , Magnetic Resonance Imaging/methods , Pattern Recognition, Automated/methods , Subtraction Technique , Humans , Image Enhancement/methods , Numerical Analysis, Computer-Assisted , Reproducibility of Results , Sensitivity and Specificity
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