Dr. Ian A. Cunningham
Scientist at Robarts Research Institute
SPIE Involvement:
Author | Instructor
Publications (50)

Proceedings Article | 14 March 2019
Proc. SPIE. 10948, Medical Imaging 2019: Physics of Medical Imaging
KEYWORDS: Photodetectors, Sensors, X-rays, Physics, Image sensors, Modulation transfer functions, X-ray imaging, X-ray detectors, Performance modeling, X-ray technology

Proceedings Article | 1 March 2019
Proc. SPIE. 10948, Medical Imaging 2019: Physics of Medical Imaging
KEYWORDS: Signal to noise ratio, Sensors, Photons, X-rays, Modulation transfer functions, X-ray imaging, Selenium, X-ray detectors, Signal detection, Prototyping

Proceedings Article | 1 March 2019
Proc. SPIE. 10948, Medical Imaging 2019: Physics of Medical Imaging
KEYWORDS: Signal to noise ratio, Photon counting, Sensors, X-rays, Image quality, Iodine, Modulation transfer functions, X-ray imaging, Selenium, X-ray detectors, Signal detection, Systems modeling

Proceedings Article | 9 March 2018
Proc. SPIE. 10573, Medical Imaging 2018: Physics of Medical Imaging
KEYWORDS: Photon counting, Imaging systems, Sensors, X-rays, Quantum efficiency, Monte Carlo methods, Modulation transfer functions, Spatial resolution, X-ray imaging, X-ray detectors, Systems modeling, Photon counting theory

Proceedings Article | 31 March 2016
Proc. SPIE. 9783, Medical Imaging 2016: Physics of Medical Imaging
KEYWORDS: Signal to noise ratio, Spatial frequencies, Sensors, X-rays, Quantum efficiency, Radiography, Sensor performance, Image quality, Image quality, Modulation transfer functions, X-ray imaging, X-ray detectors, X-ray detectors, Image quality standards

Proceedings Article | 29 March 2016
Proc. SPIE. 9783, Medical Imaging 2016: Physics of Medical Imaging
KEYWORDS: Tissues, Imaging systems, Sensors, Photons, X-rays, Scintillators, Radiography, Diagnostics, Medical imaging, Monte Carlo methods, Image quality, X-ray imaging, X-ray detectors, Signal detection, Dual energy imaging

Showing 5 of 50 publications
Course Instructor
SC358: X-Ray Detector Performance and DQE: Principles and Measurements using a Linear-Systems Approach
Medical x-ray imaging systems must be designed to ensure that maximum image quality is obtained for a specified radiation dose to the patient, and quality assurance programs are used to ensure these standards are maintained. This course is designed for anyone who wants to extend their understanding of how image quality is related to detector design and what that implies: how to talk about it, how to think about it, how to measure it and how to compare it. Performance metrics including the MTF, NPS, NEQ and DQE in digital radiography and mammography will be discussed. A cascaded-systems analysis will be used to help interpret the DQE of some real systems. The DQE of photon-counting systems, and the impact of detector limitations, will be discussed. Both non-mathematical intuitive descriptions and more rigorous mathematical descriptions will be presented.
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