Measurement of the Modulation Transfer Function of Radiographic Systems Containing Fluorescent Screens

Rossmann, Kurt

doi:10.1088/0031-9155/9/4/312

Cited by 67 publications

(25 citation statements)

References 2 publications

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“…The MTF, NPS and DQE of the X-ray imaging module were determined using a standard computation method described by previous research groups [2][3][4][5][6][7][8][9][10][11][12][13][14][20][21] . The main steps to calculate the MTF, NPS and DQE are shown by the schematics (see Fig.7, Fig.10 and Fig.12 respectively).…”

Section: Calculation Of Mtf Nps and Dqe For X-ray Imaging Modulementioning

confidence: 99%

“…It measures the ability of the imaging detector to characterize a radiation pattern whose intensity varies sinusoidally in a one dimensional plane for a corresponding distance. MTF can be calculated by the slit method, square wave method, sine wave method, sine wave response method, and the edge method [2][3][4][5][6][7][8][9][10][11][12][13][14] . Similarly, the NPS characterizes the image noise and the shape of the spectrum determines the frequency space where the noise power is concentrated.…”

Section: Introductionmentioning

confidence: 99%

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Performance evaluation of a combined neutron and x-ray digital imaging system

et al. 2013

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A neutron and X-ray combined computed tomography system (NXCT) has been developed 1 at the Missouri University of Science & Technology. It is believed that it will provide a superior method for non-destructive testing and evaluation. The system is housed within the Missouri University of Science & Technology Reactor (MSTR) and is the first such imaging platform and synthesis method to be developed. The system utilizes neutrons obtained directly from the reactor core and X-rays an X-ray generator. Characterization of the newly developed digital imaging system is imperative to the performance evaluation, as well as for describing the associated parameters. The preliminary evaluation of the NXCT system was performed in terms of image uniformity, linearity and spatial resolution. Additionally, the correlation between the applied beam intensity, the resulting image quality, and the system sensitivity was investigated. The combined neutron/X-ray digital imaging system was evaluated in terms of performance parameters and results are detailed. The MTF of the X-ray imaging module was calculated using the Edge method. The spatial frequency at 10% of the MTF was found to be 8 lp/mm, which is in agreement with the value of 8.5 lp/mm determined from the square wave response method. The highest detective quantum efficiency of the X-ray imaging module was found to be 0.13. Furthermore, the NPS spectrum for the neutron imaging module was also evaluated in a similar way as the X-ray imaging module. In order to improve the image quality of the neutron imaging module, a pin-hole mask phantom was used to correct the geometrical non-linearity of the delay line anode readout. The non-linearity correction of the delay line anode readout has been shown through the corrected images of perforated cadmium strip and electroformed phantom.

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Section: Calculation Of Mtf Nps and Dqe For X-ray Imaging Modulementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance evaluation of a combined neutron and x-ray digital imaging system

et al. 2013

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“…As it derives from the linear system theory, the modulation transfer function (MTF) is a better approach [1,2]; it is defined as the ratio of output modulation to an input sinusoidal modulation with varying frequency. After first being applied to medical imaging science by Rossmann [3] in 1964, the MTF has evolved into a well-established metric to characterize resolution performance of X-ray radiography systems [4][5][6]. It has also been adopted by the neutron radiography community [7,8] due to the underlying similar principle.…”

Section: Introductionmentioning

confidence: 99%

The measurement of the presampled MTF of a high spatial resolution neutron imaging system

Cao

Biegalski

2007

Nuclear Instruments and Methods in Physics Research Section A:

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“…In the scientific and engineering community, image quality and system performance is quantified in the Fourier-based spatial-frequency domain using the modulation transfer function (MTF) [1], [2] to describe spatial resolution and the Wiener noise power spectrum (NPS) to describe image noise. Image signal-to-noise ratio (SNR) is quantified in terms of the noise-equivalent quanta (NEQ) [3]- [6], a fundamental measure of information content in an X-ray image that can describe the performance of human observers for particular detection tasks under certain idealized conditions [5], [7].…”

Section: Introductionmentioning

confidence: 99%

“…Early application of linear-systems theory, including the use of MTF and related concepts in imaging science, was described by Rossmann and co-workers [1], [2]. General works have subsequently been published by Dainty and Shaw [8], Gaskill [12], Papoulis [13], Doi, Rossmann, and Haus [14], Metz and Doi [15], and many others.…”

Section: Introductionmentioning

confidence: 99%

Computational engine for development of complex cascaded models of signal and noise in X-ray imaging systems

Sattarivand

Cunningham

2005

IEEE Trans. Med. Imaging

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The detective quantum efficiency (DQE) is generally accepted as the primary metric of signal-to-noise performance in medical X-ray imaging systems. Simple theoretical models of the Wiener noise power spectrum (NPS) and DQE can be developed using a cascaded-systems approach to assess particular system designs and establish operational benchmarks. However, the cascaded approach is often impractical for the development of comprehensive models due to the complexity and extremely large number of algebraic terms that must be manipulated to describe signal and noise transfer. We have developed a computational engine that overcomes this limitation. Using a predefined library of elementary physical processes, complex models are assembled and input-output relationships established using a graphical interface. A novel recursive algorithm is described that allows the signal and noise analyses of models with arbitrary complexity including the use of multiple parallel cascades. Symbolic mathematics is used to develop analytic expressions for the NPS and DQE. The algorithm is validated by manual calculation for simple models and by Monte Carlo calculation for complex models. We believe our approach enables the use of complex cascaded models to design better detectors with improved image quality.

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Measurement of the Modulation Transfer Function of Radiographic Systems Containing Fluorescent Screens

Cited by 67 publications

References 2 publications

Performance evaluation of a combined neutron and x-ray digital imaging system

Performance evaluation of a combined neutron and x-ray digital imaging system

The measurement of the presampled MTF of a high spatial resolution neutron imaging system

Computational engine for development of complex cascaded models of signal and noise in X-ray imaging systems

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