End-to-end design of multicolor scintillators for enhanced energy resolution in X-ray imaging
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| Publicat a: | arXiv.org (Oct 11, 2024), p. n/a |
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| Autor principal: | |
| Altres autors: | , , , , , , |
| Publicat: |
Cornell University Library, arXiv.org
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| Matèries: | |
| Accés en línia: | Citation/Abstract Full text outside of ProQuest |
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| 001 | 3116454789 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3116454789 | ||
| 045 | 0 | |b d20241011 | |
| 100 | 1 | |a Seokhwan Min | |
| 245 | 1 | |a End-to-end design of multicolor scintillators for enhanced energy resolution in X-ray imaging | |
| 260 | |b Cornell University Library, arXiv.org |c Oct 11, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a 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. | |
| 653 | |a Gadolinium | ||
| 653 | |a Energy resolution | ||
| 653 | |a Iodine | ||
| 653 | |a X ray imagery | ||
| 653 | |a Image reconstruction | ||
| 653 | |a Contrast agents | ||
| 653 | |a X ray absorption | ||
| 653 | |a X ray detectors | ||
| 653 | |a Emission | ||
| 653 | |a Monte Carlo simulation | ||
| 653 | |a Medical imaging | ||
| 653 | |a Multiplexing | ||
| 653 | |a Scintillation counters | ||
| 653 | |a Soft tissues | ||
| 653 | |a Algorithms | ||
| 653 | |a Energy | ||
| 653 | |a Computer simulation | ||
| 700 | 1 | |a Choi, Seou | |
| 700 | 1 | |a Pajovic, Simo | |
| 700 | 1 | |a Vaidya, Sachin | |
| 700 | 1 | |a Rivera, Nicholas | |
| 700 | 1 | |a Fan, Shanhui | |
| 700 | 1 | |a Marin Soljačić | |
| 700 | 1 | |a Roques-Carmes, Charles | |
| 773 | 0 | |t arXiv.org |g (Oct 11, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3116454789/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2410.08543 |