A noise decomposition method for image quality analysis of medical radiography detectors

Sami Al Tahli; Ingo Maack; Andreas Koch; Clemens Herrmann

doi:10.1117/12.812255

13 March 2009 A noise decomposition method for image quality analysis of medical radiography detectors

Sami Al Tahli, Ingo Maack, Andreas Koch, Clemens Herrmann

Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72582P (2009) https://doi.org/10.1117/12.812255
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Signal and noise transfer properties of x-ray detectors are described by the detective quantum efficiency DQE. The DQE is a precise analysis tool, however, it is not meant to identify the various noise sources. The noise decomposition method is based on measured noise power spectra, following previous work by Mackenzie. Noise is distinguished by its variations with dose and spatial frequency: Quantum noise, fixed pattern noise, Lubberts noise, noise aliasing, and others. By determining all major noise sources, DQE results can be extrapolated within a precision of approximately 2% to other clinical relevant dose values that have not been measured. This precision shows an improvement to the method proposed by Mackenzie. The major noise sources are further sub-divided. For the calculation of noise sub-components a precision of 4% is achieved. The decomposition allows a detailed analysis of the dominant noise component in a certain dose or spatial frequency range, in particular the determination of spectral noise equivalent dose, the impact on DQE by different gain and offset correction schemes, and the influence of different scintillators on Lubberts noise.

Citation Download Citation

Sami Al Tahli, Ingo Maack, Andreas Koch, and Clemens Herrmann "A noise decomposition method for image quality analysis of medical radiography detectors", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72582P (13 March 2009); https://doi.org/10.1117/12.812255

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