Full-field Digital Mammography with Amorphous Silicon-based Flat-panel Detector : Physical Imaging Characteristics and Signal Detection

Ideguchi, Tadamitsu; Higashida, Yoshiharu; Himuro, Kazuhiko; Ohki, Masafumi; Nakamura, Satoru; Yoshida, Akira; Rie, Takagi; Hatano, Hirohide; Kuwahara, Rie; Toyonaga, Makiko; Tanaka, Isamu; Fukai, Tomoki

doi:10.6009/jjrt.kj00000922344

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…11 show the GE-detector MTF measurements by the manufacturer and independent authors [16,17]. All these data can be described by a single Gaussian with ν = 34 for the GE data [16] and ν = 37-39 for the data examined in [17]. As expected, the values obtained here for MTF using a single Gaussian for PSF 0 are higher than the GE data (see Fig.…”

Section: Spatial Resolutionsupporting

confidence: 59%

“…The symbols in Fig. 11 show the GE-detector MTF measurements by the manufacturer and independent authors [16,17]. All these data can be described by a single Gaussian with ν = 34 for the GE data [16] and ν = 37-39 for the data examined in [17].…”

Section: Spatial Resolutionmentioning

confidence: 99%

“…3). [16], and 26 and 28 kV respectively, and high and low exposure respectively [17]. Curves represent the current results for 26 and 28 kV for two detection devices and two different representations of the presampled PSF 0 .…”

Section: Appendix Cmentioning

confidence: 99%

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Simultaneous pixel detection probabilities and spatial resolution estimation of pixelized detectors by means of correlation measurements

Grabski

2008

Nuclear Instruments and Methods in Physics Research Section A:

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On the basis of the determination of statistical correlations between neighboring detector pixels, a novel method of estimating the simultaneous detection probability of pixels and the spatial resolution of pixelized detectors is proposed. The correlations are determined using noise variance measurement for isolated pixels and for the difference between neighboring pixels. The method is validated using images from two image-acquisition devices, a General Electric Senographe 2000D and a SD mammographic unit. The pixelized detector is irradiated with X-rays over its entire surface. It is shown that the simultaneous pixel detection probabilities can be estimated with an accuracy of 0.001-0.003, with an estimated systematic error of less than 0.005. The two-dimensional presampled point-spread function (PSF ) 0 is determined using a single Gaussian approximation and a sum of two Gaussian approximations. The results obtained for the presampled PSF 0 show that the single Gaussian approximation is not appropriate, and the sum of two Gaussian approximations providing the best fit predicts the existence of a large (~50%) narrow component. Support for this observation can be found in the recent simulation study of columnar indirect digital detectors by Badano et al. The sampled two-dimensional PSF is determined using Monte Carlo simulation for the L-shaped, uniformly distributed acceptance function for different fill-factor values. The calculation of the presampled modulation transfer function based on the estimated PSF 0 shows that the observed data can be reproduced only by the single Gaussian approximation, and that when the sum of two Gaussians is used, significantly larger values are apparent in the higher-frequency region for images from both detection devices. The proposed method does not require a precisely, constructed tool. It is insensitive to beam collimation and to system physical size and may be indispensable in cases where thin absorption slits or edges are difficult to use. It could therefore be very useful for regular detector verification.

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