Name
Title | ||
|---|---|---|
Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications. |
Abstract | ||
|---|---|---|
Limited-angle iterative reconstruction (LAIR) reduces the radiation dose required for computed tomography (CT) imaging by decreasing the range of the projection angle. We developed an image-quality-based stopping-criteria method with a flexible and innovative instrument design that, when combined with LAIR, provides the image quality of a conventional CT system. This study describes the construction of different scan acquisition protocols for micro-CT system applications. Fully-sampled Feldkamp (FDK)-reconstructed images were used as references for comparison to assess the image quality produced by these tested protocols. The insufficient portions of a sinogram were inpainted by applying a context encoder (CE), a type of generative adversarial network, to the LAIR process. The context image was passed through an encoder to identify features that were connected to the decoder using a channel-wise fully-connected layer. Our results evidence the excellent performance of this novel approach. Even when we reduce the radiation dose by 1/4, the iterative-based LAIR improved the full-width half-maximum, contrast-to-noise and signal-to-noise ratios by 20% to 40% compared to a fully-sampled FDK-based reconstruction. Our data support that this CE-based sinogram completion method enhances the efficacy and efficiency of LAIR and that would allow feasibility of limited angle reconstruction. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/s18124458 | SENSORS |
Keywords | Field | DocType |
context encoder (CE),limited-angle iterative reconstruction (LAIR),generative adversarial network (GAN) | Iterative reconstruction,Algorithm,Encoder,Engineering | Journal |
Volume | Issue | ISSN |
18 | 12.0 | 1424-8220 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shih-Chun Jin | 1 | 1 | 0.37 |
| Chia-Jui Hsieh | 2 | 1 | 0.37 |
| Jyh-Cheng Chen | 3 | 1204 | 146.68 |
| Shih-Huan Tu | 4 | 1 | 0.37 |
| Ya-chen Chen | 5 | 34 | 4.49 |
| Tzu-Chien Hsiao | 6 | 42 | 11.74 |
| Angela Liu | 7 | 1 | 0.37 |
| Wen-Hsiang Chou | 8 | 1 | 0.37 |
| Woei-Chyn Chu | 9 | 93 | 9.65 |
| Chih-Wei Kuo | 10 | 1 | 1.05 |