Bibliographic Details
| Title: |
End-to-end design of multicolor scintillators for enhanced energy resolution in X-ray imaging |
| Authors: |
Seokhwan Min, Seou Choi, Simo Pajovic, Sachin Vaidya, Nicholas Rivera, Shanhui Fan, Marin Soljačić, Charles Roques-Carmes |
| Source: |
Light: Science & Applications, Vol 14, Iss 1, Pp 1-12 (2025) |
| Publisher Information: |
Nature Publishing Group, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Applied optics. Photonics
LCC:Optics. Light |
| Subject Terms: |
Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467 |
| More Details: |
Abstract Scintillators have been widely used in X-ray imaging due to their ability to convert high-energy radiation into visible light, making them essential for applications such as medical imaging and high-energy physics. Recent advances in the artificial structuring of scintillators offer new opportunities for improving the energy resolution of scintillator-based X-ray detectors. Here, we present a three-bin energy-resolved X-ray imaging framework based on a three-layer multicolor scintillator used in conjunction with a physics-aware image postprocessing algorithm. The multicolor scintillator is able to preserve X-ray energy information through the combination of emission wavelength multiplexing and energy-dependent isolation of X-ray absorption in specific layers. The dominant emission color and the radius of the spot measured by the detector are used to infer the incident X-ray energy based on prior knowledge of the energy-dependent absorption profiles of the scintillator stack. Through ab initio Monte Carlo simulations, we show that our approach can achieve an energy reconstruction accuracy of 49.7%, which is only 2% below the maximum accuracy achievable with realistic scintillators. We apply our framework to medical phantom imaging simulations where we demonstrate that it can effectively differentiate iodine and gadolinium-based contrast agents from bone, muscle, and soft tissue. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2047-7538 |
| Relation: |
https://doaj.org/toc/2047-7538 |
| DOI: |
10.1038/s41377-025-01836-8 |
| Access URL: |
https://doaj.org/article/582f1f5b9a154535afda7af70e2bfc17 |
| Accession Number: |
edsdoj.582f1f5b9a154535afda7af70e2bfc17 |
| Database: |
Directory of Open Access Journals |
