Name
Abstract | ||
|---|---|---|
There are growing concerns on the potential side effect of radiation, which could be decreased by lowering the tube current. However, this manner will lead to a degraded image since X-ray imaging is a quantum accumulation process. Great efforts have been devoted to alleviate this problem. In this paper, a simple Wiener filter was employed to denoise projection data in detector domain. And then an enhancement filter was exploited to strengthen small structures. As a consequence, this combination leaded to a reconstruction with good trade-off between noise and resolution. For the purpose of comparison, block-matching and 3D/4D denoising algorithm (BM3D/BM4D) were also adopted to denoise the projections. Experimental results demonstrated that the proposed algorithm could deliver a reconstruction with comparable quality as BM4D algorithm while better than that of BM3D denoising algorithm. Note that the propose algorithm has a much higher computation efficiency than BM3D/BM4D, and hence provides an insight into the clinical utility where real time is of high importance. |
Year | Venue | Field |
|---|---|---|
2015 | ICIG | Wiener filter,Noise reduction,Computer vision,Quantum,Denoising algorithm,Computer science,Artificial intelligence,Detector,Computation |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
3 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shaojie Chang | 1 | 0 | 0.68 |
| yanbo zhang | 2 | 99 | 8.36 |
| Ti Bai | 3 | 3 | 1.40 |
| Xi Chen | 4 | 3 | 3.62 |
| Qiong Xu | 5 | 89 | 6.55 |
| Xuanqin Mou | 6 | 216 | 12.15 |