Name
Title | ||
|---|---|---|
Piecewise structural diffusion defined on shape index for noise reduction in dual-energy CT images |
Abstract | ||
|---|---|---|
The increasing radiation dose in dual-energy CT (DE-CT) scanning due to the double exposures at 80 kVp and 140 kVp is a major concern in the application of DE-CT. This paper presents a novel image-space denoising method, called piecewise structural diffusion (PSD), for the reduction of noise in low-dose DE-CT images. Three principle structures (plate, ridge, and cap) and their corresponding diffusion tensors are formulated based on the eigenvalues of a Hessian matrix. The local diffusion tensor that is piecewise-defined on the domain of shape index is composed by a linear combination of two diffusion tensors of the associated principle structures. A single diffusion tensor calculated from the fused DE-CT image is applied to both high- and low-energy images. In the DE-CT colon phantom study, we demonstrated that DE-CT images filtered by PSD yielded the similar image quality with half of radiation doses. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-33612-6_10 | Abdominal imaging |
Keywords | Field | DocType |
dual-energy ct image,de-ct image,diffusion tensors,local diffusion tensor,corresponding diffusion tensors,piecewise structural diffusion,associated principle structure,shape index,fused de-ct image,low-dose de-ct image,single diffusion tensor,de-ct colon,noise reduction | Nuclear medicine,Noise reduction,Linear combination,Diffusion MRI,Tensor,Mathematical analysis,Imaging phantom,Image quality,Hessian matrix,Radiology,Medicine,Piecewise | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenli Cai | 1 | 118 | 16.57 |
| June-Goo Lee | 2 | 14 | 3.52 |
| Da Zhang | 3 | 0 | 0.34 |
| Christina Piel | 4 | 0 | 0.34 |
| Hiroyuki Yoshida | 5 | 50 | 13.16 |