Estimation of Response Functions Based on Variational Bayes Algorithm in Dynamic Images Sequences
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We proposed a nonparametric Bayesian model based on variational Bayes algorithm to estimate the response functions in dynamic medical imaging.
In dynamic renal scintigraphy, the impulse response or retention functions are rather complicated and finding a suitable parametric form is problematic.
In this paper, we estimated the response functions using nonparametric Bayesian priors.
These priors were designed to favor desirable properties of the functions, such as sparsity or smoothness.
These assumptions were used within hierarchical priors of the variational Bayes algorithm.
We performed our algorithm on the real online dataset of dynamic renal scintigraphy.
The results demonstrated that this algorithm improved the estimation of response functions with nonparametric priors.
American Psychological Association (APA)
Shan, Bowei. 2016. Estimation of Response Functions Based on Variational Bayes Algorithm in Dynamic Images Sequences. BioMed Research International،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1097912
Modern Language Association (MLA)
Shan, Bowei. Estimation of Response Functions Based on Variational Bayes Algorithm in Dynamic Images Sequences. BioMed Research International No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1097912
American Medical Association (AMA)
Shan, Bowei. Estimation of Response Functions Based on Variational Bayes Algorithm in Dynamic Images Sequences. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1097912
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097912