A practical local tomography reconstruction algorithm based on a known sub-region
| Autor: | Pierre Paleo, Michel Desvignes, Alessandro Mirone |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Nuclear and High Energy Physics
Radiation Basis (linear algebra) Computer science Gaussian Degrees of freedom (statistics) Reconstruction algorithm 02 engineering and technology Iterative reconstruction 030218 nuclear medicine & medical imaging Constraint (information theory) 03 medical and health sciences symbols.namesake 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Uniqueness Tomography Instrumentation Algorithm |
| Zdroj: | Journal of Synchrotron Radiation. 24:257-268 |
| ISSN: | 1600-5775 |
| Popis: | A new method to reconstruct data acquired in a local tomography setup is proposed. This method uses an initial reconstruction and refines it by correcting the low-frequency artifacts, known as the cupping effect. A basis of Gaussian functions is used to correct the initial reconstruction. The coefficients of this basis are found by optimizing iteratively a fidelity term under the constraint of a known sub-region. Using a coarse basis reduces the degrees of freedom of the problem while actually correcting the cupping effect. Simulations show that the known region constraint yields an unbiased reconstruction, in accordance with uniqueness theorems stated in local tomography. |
| Databáze: | OpenAIRE |
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