Modeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrast

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Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Vardhan, Avantika; Prastawa, Marcel W.; Piven, Joseph
Title Modeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrast
Date 2013-01-01
Description Longitudinal MR imaging during early brain development provides important information about growth patterns and the development of neurological disorders. We propose a new framework for studying brain growth patterns within and across populations based on MRI contrast changes, measured at each time point of interest and at each voxel. Our method uses regression in the LogOdds space and an information-theoretic measure of distance between distributions to capture contrast in a manner that is robust to imaging parameters and without requiring intensity normalization. We apply our method to a clinical neuroimaging study on early brain development in autism, where we obtain a 4D spatiotemporal model of contrast changes in multimodal structural MRI.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 1396
Last Page 1399
Language eng
Bibliographic Citation Vardhan, A., Prastawa, M. W., Piven, J., & Gerig, G. (2013). Modeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrast. Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI), 1396-9.
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Identifier uspace,19120
ARK ark:/87278/s6m07fkr
Setname ir_uspace
ID 712753
Reference URL https://collections.lib.utah.edu/ark:/87278/s6m07fkr
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