Name
Abstract | ||
|---|---|---|
Synchrotron based X-ray tomography is widely used for three dimensional imaging of materials at the micron scale. Tomographic data collected from a synchrotron is often affected by non-idealities in the measurement system and sudden “blinding” of detector pixels during the acquisition. Typically, reconstructions are done using analytical reconstruction techniques combined with pre/post-processing steps to correct for the non-idealities, resulting in loss of detail while still producing noisy reconstructions with some artifacts. In this paper, we present a model-based iterative reconstruction (MBIR) algorithm for synchrotron X-ray tomography that can automatically handle the non-idealities as a part of the reconstruction. First, we develop a forward model that accounts for the non-idealities in the measurement system and for the occurrence of outliers in the measurement. Next, we combine the forward model with a prior model of the object to formulate the MBIR cost function and propose an algorithm to minimize the cost. Results on a real data set show that the MBIR reconstructions are superior to the analytical reconstructions effectively suppressing noise as well as other artifacts. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICASSP.2014.6854939 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
computerised tomography,image reconstruction,iterative methods,synchrotrons,analytical reconstruction techniques,model based iterative reconstruction,synchrotron X-ray tomography,three dimensional imaging | Iterative reconstruction,Computer vision,Tomographic reconstruction,System of measurement,Computer science,Synchrotron,Outlier,Tomography,Pixel,Artificial intelligence,Detector | Conference |
ISSN | Citations | PageRank |
1520-6149 | 3 | 0.41 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. Aditya Mohan | 1 | 16 | 3.24 |
| S. V. Venkatakrishnan | 2 | 113 | 8.59 |
| Lawrence F. Drummy | 3 | 36 | 3.21 |
| Jeff Simmons | 4 | 36 | 5.15 |
| Dilworth Y. Parkinson | 5 | 4 | 2.51 |
| Charles A. Bouman | 6 | 2740 | 473.62 |