Abstract
The ability to determine the atomic structure or identify the material composition of a sample at high spatial resolution is paramount to a variety of research, imaging, and inspection tasks. We have developed a multi-modality X-ray transmission and X-ray diffraction imaging system that is compact and enables scanning of intact samples. To demonstrate the capabilities of the system, we characterize its spatial and momentum transfer resolution and provide examples of the contrast and utility of the system using a combination of resolution and anthropomorphic phantoms.
| Original language | English |
|---|---|
| Title of host publication | Anomaly Detection and Imaging with X-Rays (ADIX) IX |
| Editors | Amit Ashok, Joel A. Greenberg, Michael E. Gehm |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510674042 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
| Event | Anomaly Detection and Imaging with X-Rays (ADIX) IX 2024 - National Harbor, United States Duration: Apr 24 2024 → Apr 25 2024 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 13043 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | Anomaly Detection and Imaging with X-Rays (ADIX) IX 2024 |
|---|---|
| Country/Territory | United States |
| City | National Harbor |
| Period | 04/24/24 → 04/25/24 |
Funding
We would like to thank Dr. Keith Rogers and Dr. Robert Scott for supplying our pressed silicon material standard discs. We also greatly appreciate funding from the North Carolina Biotechnology Center under award 2022-SRL-2613 and the National Institute of Health through awards 1R33CA256102 (National Cancer Institute's Innovative Molecular Analysis Technologies program) and 1R44EB034645-01 (National Institute of Biomedical Imaging and Bioengineering).
Keywords
- X-ray diffraction
- X-ray imaging
- artificial intelligence
- multi-modality
- non-destructive testing
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