Needs, trends, and advances in scintillators for radiographic imaging and tomography

• Published in: arXiv.org
• Main Authors: Wang, Zhehui, Dujardin, Christophe, Freeman, Matthew S, Gehring, Amanda E, Hunter, James F, Lecoq, Paul, Liu, Wei, Melcher, Charles L, Morris, C L, Nikl, Martin, Pilania, Ghanshyam, Pokharel, Reeju, Robertson, Daniel G, Rutstrom, Daniel J, Sjue, Sky K, Tremsin, Anton S, Watson, S A, Wiggins, Brenden W, Winch, Nicola M, Zhuravleva, Mariya
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 20.12.2022
• Subjects: Computed tomography; Data science; Heterostructures; High energy electrons; High power lasers; Inventions; Liquid phases; Luminosity; Machine vision; Medical imaging; Multilayers; Nondestructive testing; Nuclear safety; Optimization; Particle accelerators; Perovskites; Phase contrast; Photonic crystals; Physics - Instrumentation and Detectors; Radiation; Radiation dosage; Radiography; Scintillation counters; Temporal resolution; Thick films; Time measurement; Tomography; Trends; Virtual reality; X ray imagery
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2212.10322

Scintillators are important materials for radiographic imaging and tomography (RadIT), when ionizing radiations are used to reveal internal structures of materials. Since its invention by R\"ontgen, RadIT now come in many modalities such as absorption-based X-ray radiography, phase contrast X-ray imaging, coherent X-ray diffractive imaging, high-energy X- and \(\gamma-\)ray radiography at above 1 MeV, X-ray computed tomography (CT), proton imaging and tomography (IT), neutron IT, positron emission tomography (PET), high-energy electron radiography, muon tomography, etc. Spatial, temporal resolution, sensitivity, and radiation hardness, among others, are common metrics for RadIT performance, which are enabled by, in addition to scintillators, advances in high-luminosity accelerators and high-power lasers, photodetectors especially CMOS pixelated sensor arrays, and lately data science. Medical imaging, nondestructive testing, nuclear safety and safeguards are traditional RadIT applications. Examples of growing or emerging applications include space, additive manufacturing, machine vision, and virtual reality or `metaverse'. Scintillator metrics such as light yield and decay time are correlated to RadIT metrics. More than 160 kinds of scintillators and applications are presented during the SCINT22 conference. New trends include inorganic and organic scintillator heterostructures, liquid phase synthesis of perovskites and \(\mu\)m-thick films, use of multiphysics models and data science to guide scintillator development, structural innovations such as photonic crystals, nanoscintillators enhanced by the Purcell effect, novel scintillator fibers, and multilayer configurations. Opportunities exist through optimization of RadIT with reduced radiation dose, data-driven measurements, photon/particle counting and tracking methods supplementing time-integrated measurements, and multimodal RadIT.