Optica · 2024 · 10 citations · 21 references
EngineeringComputer EngineeringRadiologyDiagnostic ImagingDiagnostic RadiologyRadiation DetectionDigital Image ProcessingRadiation Imaging DetectorsRadiographic ImagingScintillation DetectorsX-ray DetectionX-ray DetectorsCerium-doped ScintillatorsEvent-based VisionEvent-based Vision SensorsImage SharpeningPower ConsumptionResolutionsX-ray Imaging PerformanceX-ray Imaging Physics
Dynamic x-ray imagers have undergone extensive study due to their wide-ranging applications. However, as frame rates and resolutions increase, the accompanying growth in data volume imposes constraints on system capabilities, including data transmission, temporal bandwidth, processing capability, and power consumption. Herein we present a demonstration of an event-based x-ray imager that integrates Cs 5 Cu 3 Cl 6 I 2 scintillator film, free from ghosting, with an event-based vision sensor. Each pixel operates autonomously, producing a signal only upon detecting a change in contrast intensity. The Cs 5 Cu 3 Cl 6 I 2 scintillator film exhibits minimal ghosting artifacts (0.1%), which is a significant improvement compared to a conventional CsI:Tl scintillator (4.1%). The assembled imaging system finds practical applications in radiography and edge sharpening, achieving an impressive data compression ratio of 23.7%. Remarkably, this ratio is equivalent to the performance of intricate and energy-intensive software-based computing processes.
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A 10000 frames/s CMOS digital pixel sensor
S. Kleinfelder, SukHwan Lim, Xinqiao Liu et al. · IEEE Journal of Solid-State Circuits · 2001 · 345 citations
Engineering, Computer Engineering, Electrical Engineering +17
Simon R. Cherry, James A. Sorenson, Michael E. Phelps et al. · Medical Physics · 2004 · 317 citations