Substance discrimination imaging derived from switchable soft and hard x‐ray sensing in direct x‐ray detector
Abstract Substance discrimination beyond the shape feature is urgently desired for x‐ray imaging for enhancing target identification. With two x‐ray sources or stacked two detectors, the two‐energy‐channel x‐ray detection can discriminate substance density by normalizing the target thickness. Nevertheless, the artifacts, high radiation dose and difficulty in image alignment due to two sources or two detectors impede their widespread application. In this work, we report a single direct x‐ray detector with MAPbI 3 /MAPbBr 3 heterojunction for switchable soft x‐ray (<20 keV) and hard x‐ray (>20 keV) detection under one x‐ray source. Systematic characterizations confirm soft and hard x‐ray deposit their energy in MAPbI 3 and MAPbBr 3 layer, respectively, while working voltages can control the collection of generated charge carriers in each layer for selective soft/hard x‐ray detection. The switching rate between soft and hard x‐ray detection mode reaches 100 Hz. Moreover, the detector possesses a moderate performance with ~50 nGy s −1 in limit‐of‐detection, ~8000 μC Gy −1 cm −2 in sensitivity and ~7 lp/mm in imaging resolution. By defining the attenuation coefficient ratio ( 𝜇 L /𝜇 H ) as substance label, we effectively mitigate the influence of target thickness and successfully discriminate substances in the acquired x‐ray images. image
Authors
- Ying Jie Zhu (ORCID: https://orcid.org/0000-0003-0418-919X)
- Damian Chinedu Onwudiwe (ORCID: https://orcid.org/0000-0002-2689-3981)
- Byung Seong Bae (ORCID: https://orcid.org/0000-0002-3328-0286)
- Jingda Zhao (ORCID: https://orcid.org/0000-0001-6792-6578)
- Wei Lei (ORCID: https://orcid.org/0000-0001-5532-7252)
- Mehmet Ertuğrul (ORCID: https://orcid.org/0000-0003-1921-7704)
- Qi Cheng (ORCID: https://orcid.org/0000-0002-2107-6253)
- Yuwei Li (ORCID: https://orcid.org/0009-0000-4705-3626)
- Xin Wang (ORCID: https://orcid.org/0000-0003-4504-8502)
- Xiaobao Xu (ORCID: https://orcid.org/0000-0001-8343-7053)
Institutions
- Hoseo University (KR)
- Karadeniz Technical University (TR)
- North-West University (ZA)
- Southeast University (BD)
- The Fifth People’s Hospital of Suzhou (CN)
- Southeast University (CN)
Publication Details
- Journal
- InfoMat
- Published
- 2024-10-13
- DOI
- https://doi.org/10.1002/inf2.12632
- Citations
- 10
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.84
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities