Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment

Anuja Sharma; P. Thomas Fletcher; John H. Gilmore; Maria L. Escolar; Avantika Vardhan; Aditya Gupta; Martin Styner; Guido Gerig

doi:10.1109/ISBI.2013.6556567

Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment

Anuja Sharma, P. Thomas Fletcher, John H. Gilmore, Maria L. Escolar, Avantika Vardhan, Aditya Gupta, Martin Styner, Guido Gerig

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a novel method that extends spatiotemporal growth modeling to distribution-valued data. The method relaxes assumptions on the underlying noise models by considering the data to be represented by the complete probability distributions rather than a representative, single-valued summary statistics like the mean. When summarizing by the latter method, information on the underlying variability of data is lost early in the process and is not available at later stages of statistical analysis. The concept of 'distance' between distributions and an 'average' of distributions is employed. The framework quantifies growth trajectories for individuals and populations in terms of the complete data variability estimated along time and space. Concept is demonstrated in the context of our driving application which is modeling of age-related changes along white matter tracts in early neurodevelopment. Results are shown for a single subject with Krabbe's disease in comparison with a normative trend estimated from 15 healthy controls.

Original language	English (US)
Title of host publication	ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro
Pages	684-687
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2013.6556567
State	Published - 2013
Event	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States Duration: Apr 7 2013 → Apr 11 2013

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country	United States
City	San Francisco, CA
Period	4/7/13 → 4/11/13

Keywords

Mallow's distance
diffusion tensor imaging
distribution-valued data
early neurodevelopment
spatiotemporal growth trajectory

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI.2013.6556567

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Cite this

Sharma, A., Fletcher, P. T., Gilmore, J. H., Escolar, M. L., Vardhan, A., Gupta, A., Styner, M., & Gerig, G. (2013). Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment. In ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro (pp. 684-687). [6556567] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2013.6556567

Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment. / Sharma, Anuja; Fletcher, P. Thomas; Gilmore, John H.; Escolar, Maria L.; Vardhan, Avantika; Gupta, Aditya; Styner, Martin; Gerig, Guido.

ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. 2013. p. 684-687 6556567 (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sharma, A, Fletcher, PT, Gilmore, JH, Escolar, ML, Vardhan, A, Gupta, A, Styner, M & Gerig, G 2013, Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment. in ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro., 6556567, Proceedings - International Symposium on Biomedical Imaging, pp. 684-687, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, CA, United States, 4/7/13. https://doi.org/10.1109/ISBI.2013.6556567

Sharma A, Fletcher PT, Gilmore JH, Escolar ML, Vardhan A, Gupta A et al. Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment. In ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. 2013. p. 684-687. 6556567. (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2013.6556567

Sharma, Anuja ; Fletcher, P. Thomas ; Gilmore, John H. ; Escolar, Maria L. ; Vardhan, Avantika ; Gupta, Aditya ; Styner, Martin ; Gerig, Guido. / Spatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopment. ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. 2013. pp. 684-687 (Proceedings - International Symposium on Biomedical Imaging).

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AB - This paper proposes a novel method that extends spatiotemporal growth modeling to distribution-valued data. The method relaxes assumptions on the underlying noise models by considering the data to be represented by the complete probability distributions rather than a representative, single-valued summary statistics like the mean. When summarizing by the latter method, information on the underlying variability of data is lost early in the process and is not available at later stages of statistical analysis. The concept of 'distance' between distributions and an 'average' of distributions is employed. The framework quantifies growth trajectories for individuals and populations in terms of the complete data variability estimated along time and space. Concept is demonstrated in the context of our driving application which is modeling of age-related changes along white matter tracts in early neurodevelopment. Results are shown for a single subject with Krabbe's disease in comparison with a normative trend estimated from 15 healthy controls.

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