Parametric regression scheme for distributions: analysis of DTI fiber tract diffusion changes in early Brain Development

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Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Sharma, Anuja; Fletcher, P. Thomas; Gilmore, John H.; Escolar, Maria L.; Gupta, Aditya; Styner, Martin
Title Parametric regression scheme for distributions: analysis of DTI fiber tract diffusion changes in early Brain Development
Date 2014-01-01
Description Temporal modeling frameworks often operate on scalar variables by summarizing data at initial stages as statistical summaries of the underlying distributions. For instance, DTI analysis often employs summary statistics, like mean, for regions of interest and properties along fiber tracts for population studies and hypothesis testing. This reduction via discarding of variability information may introduce significant errors which propagate through the procedures. We propose a novel framework which uses distribution-valued variables to retain and utilize the local variability information. Classic linear regression is adapted to employ these variables for model estimation. The increased stability and reliability of our proposed method when compared with regression using single-valued statistical summaries, is demonstrated in a validation experiment with synthetic data. Our driving application is the modeling of age-related changes along DTI white matter tracts. Results are shown for the spatiotemporal population trajectory of genu tract estimated from 45 healthy infants and compared with a Krabbe's patient.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 559
Last Page 562
Language eng
Bibliographic Citation Sharma, A., Fletcher, P. T., Gilmore, J. H., Escolar, M. L., Gupta, A., & Styner, M. (2014). Parametric regression scheme for distributions: analysis of DTI fiber tract diffusion changes in early Brain Development. Proceedings of the 2014 IEEE International Symposium on Biomedical Imaging (ISBI), 559-62.
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Format Medium application/pdf
Format Extent 1,496,775 bytes
Identifier uspace,18985
ARK ark:/87278/s6xm1qp4
Setname ir_uspace
Date Created 2014-10-17
Date Modified 2021-05-06
ID 712704
Reference URL https://collections.lib.utah.edu/ark:/87278/s6xm1qp4
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