Name
Abstract | ||
|---|---|---|
In this study a motion compensated X-ray CT algorithm based on a statistical model is proposed. The important feature of our motion compensated X-ray CT algorithm is that the target object is assumed to move or deform along the time. Then the projections of the deforming target object are described by a state-space model. The deformation is described by motion vectors each attached to each pixel. To reduce the ill-posed ness we incorporate into the prior distribution our a priori knowledge that the target object is composed of a restricted number of materials whose X-ray absorption coefficients are roughly known. To perform Bayesian inference based on our statistical model, the posterior distribution is approximated by a computationally tractable distribution such to minimize Kullback-Leibler (KL) divergence between the posterior and the tractable distributions. Computer simulations using phantom images show the effectiveness of our CT algorithm, suggesting the state-space model works even when the target object is deforming. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICMLA.2011.97 | ICMLA (1) |
Keywords | DocType | Citations |
x-ray ct algorithm,ct algorithm,state-space model,motion compensated x-ray,target object,statistical model,prior distribution,posterior distribution,computationally tractable distribution,x-ray absorption coefficient,deforming target object,a priori knowledge,bayesian methods,bayesian inference,image reconstruction,computed tomography,motion compensation,statistical analysis,distributed computing,state space model,bayesian method,vectors,kullback leibler,absorption,materials | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takumi Tanaka | 1 | 0 | 0.68 |
| Shin-ichi Maeda | 2 | 26 | 8.11 |
| Shin Ishii | 3 | 239 | 34.39 |