Name
Title | ||
|---|---|---|
EM-TV reconstruction algorithm for pinhole-type fluorescent X-ray computed tomography |
Abstract | ||
|---|---|---|
We have so far developed a fluorescent X-ray computed tomography (FXCT) with a two-dimensional detector based on the pinhole effect for imaging non-radioactive agent distribution in a small animal. However, it takes several hours to acquire a series of projections required for an image with quality sufficient for biological observation. To overcome the difficulty, we realize a high-speed imaging by reducing the number of projections while keeping the image quality using an EM-TV (Expectation Maximization and Total Variation) algorithm, which is a kind of compressed sensing technique. We demonstrate the efficacy by simulation data and actual data obtained in the imaging experiment performed at beamline AR-NE7A, KEK, Tsukuba. |
Year | Venue | Keywords |
|---|---|---|
2015 | ASCC | detectors,fluorescence,image reconstruction,photonics,imaging,tv |
Field | DocType | Citations |
Iterative reconstruction,PET-CT,Computer vision,Expectation–maximization algorithm,Image quality,Optics,Reconstruction algorithm,Artificial intelligence,Ordered subset expectation maximization,Detector,Compressed sensing,Physics | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| tenta sasaya | 1 | 0 | 0.34 |
| dai aoki | 2 | 0 | 0.34 |
| Tetsuya Yuasa | 3 | 5 | 3.87 |
| Kazuyuki Hyodo | 4 | 5 | 4.21 |
| Naoki Sunaguchi | 5 | 0 | 3.04 |
| Tsutomu Zeniya | 6 | 0 | 1.35 |