Non-parametric Bayesian models of response function in dynamic image sequences
Estimation of response functions is an important task in dynamic medical imaging. This task
arises for example in dynamic renal scintigraphy, where impulse response or retention …
arises for example in dynamic renal scintigraphy, where impulse response or retention …
[Retracted] Estimation of Response Functions Based on Variational Bayes Algorithm in Dynamic Images Sequences
B Shan - BioMed Research International, 2016 - Wiley Online Library
We proposed a nonparametric Bayesian model based on variational Bayes algorithm to
estimate the response functions in dynamic medical imaging. In dynamic renal scintigraphy …
estimate the response functions in dynamic medical imaging. In dynamic renal scintigraphy …
Kinetic modeling of the dynamic PET brain data using blind source separation methods
Image-based definition of regions of interest is a typical prerequisite step for estimation of
time-activity curves in dynamic positron emission tomography (PET). This procedure is done …
time-activity curves in dynamic positron emission tomography (PET). This procedure is done …
Estimation of input function from dynamic PET brain data using Bayesian blind source separation
Selection of regions of interest in an image sequence is a typical prerequisite step for
estimation of time-activity curves in dynamic positron emission tomography (PET). This …
estimation of time-activity curves in dynamic positron emission tomography (PET). This …