Influence of Data Acquisition Algorithms on X-Ray Phase Contrast Imaging Computed Tomography
| Autor: | Ryan N. Goodner, Collin J. C. Epstein, Kyle R. Thompson, R. Derek West, Amber L. Dagel |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Materials science
medicine.diagnostic_test business.industry Computed tomography 02 engineering and technology 021001 nanoscience & nanotechnology Rotation 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Optics Data acquisition Mechanics of Materials X-Ray Phase-Contrast Imaging medicine 0210 nano-technology Safety Risk Reliability and Quality business Diffraction grating Civil and Structural Engineering |
| Zdroj: | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems. 3 |
| ISSN: | 2572-3898 2572-3901 |
| DOI: | 10.1115/1.4048517 |
| Popis: | X-ray phase contrast imaging (XPCI) is a nondestructive evaluation technique that enables high-contrast detection of low-attenuation materials that are largely transparent in traditional radiography. Extending a grating-based Talbot-Lau XPCI system to three-dimensional imaging with computed tomography (CT) imposes two motion requirements: the analyzer grating must translate transverse to the optical axis to capture image sets for XPCI reconstruction, and the sample must rotate to capture angular data for CT reconstruction. The acquisition algorithm choice determines the order of movement and positioning of the two stages. The choice of the image acquisition algorithm for XPCI CT is instrumental to collecting high fidelity data for reconstruction. We investigate how data acquisition influences XPCI CT by comparing two simple data acquisition algorithms and determine that capturing a full phase-stepping image set for a CT projection before rotating the sample results in higher quality data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|