Podrobná bibliografie
| Název: |
Noise-robust one-bit diffraction tomography and optimal dose fractionation. |
| Autoři: |
Chen, Pengwen, Fannjiang, Albert |
| Zdroj: |
Inverse Problems; Aug2025, Vol. 41 Issue 8, p1-26, 26p |
| Témata: |
DOSE fractionation, SIGNAL-to-noise ratio, DIAGNOSTIC imaging, ROBUST statistics, RANDOM matrices, ITERATIVE methods (Mathematics) |
| Abstrakt: |
This study presents a noise-robust framework for 1-bit diffraction tomography, a novel imaging approach that relies on intensity-only binary measurements obtained through coded apertures. The proposed reconstruction scheme leverages random matrix theory and iterative algorithms to effectively recover 3D object structures under high-noise conditions. A key contribution is the numerical investigation of dose fractionation, revealing optimal performance at a signal-to-noise ratio near 1, independent of the total dose. This finding addresses the question: how to distribute a given level of total radiation energy among different tomographic views in order to optimize the quality of reconstruction? [ABSTRACT FROM AUTHOR] |
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| Databáze: |
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