Medical Imaging 1999: Image Display 1999
DOI: 10.1117/12.349462
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Characterization, detection, and supression of stationary grids in digital projection radiography imagery

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Cited by 21 publications
(14 citation statements)
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“…Even though we use the moving grids, the grid artifact is still visible as shown in Fig. 1(a), and thus it should be removed from the obtained x-ray image by applying filters in the spatial [1] or frequency domain [2]. In the frequency domain, the grid artifacts can be described as amplitude-modulated terms [3], and thus the band-rejection filters (BRFs) should be applied to remove the grid artifacts.…”
Section: Introductionmentioning
confidence: 98%
“…Even though we use the moving grids, the grid artifact is still visible as shown in Fig. 1(a), and thus it should be removed from the obtained x-ray image by applying filters in the spatial [1] or frequency domain [2]. In the frequency domain, the grid artifacts can be described as amplitude-modulated terms [3], and thus the band-rejection filters (BRFs) should be applied to remove the grid artifacts.…”
Section: Introductionmentioning
confidence: 98%
“…3 The objective of the study was to minimize the aliasing artifacts while converting a film into digital form. In another study by Barski and Wang,4 a method consisting of grid frequency detection and adaptive grid suppression was proposed. The grid artifact frequency was detected in the frequency domain after a 1-dimensional Fourier transform.…”
Section: Introductionmentioning
confidence: 99%
“…However, simply rotating the grid is not enough to remove the grid artifacts for flat panel digital detectors. Furthermore, most current algorithms 7,19,20,22 are focused on the reduction of weak or blurred grid artifacts, which are produced by the CR or the indirect detectors, and thus cannot effectively remove even the fundamental component of the grid artifact near sharp edges within the image for the direct image detector case. (Note that, in a digital radiography system with poor resolution, the grid pattern is blurred or even becomes invisible.…”
Section: Introductionmentioning
confidence: 99%
“…By employing BSF in the frequency domain, we can considerably suppress the grid artifact comparing to the nonrotated grid and linear filtering case of Lin et al 7 and Sasada et al, 21 even for strong grid artifacts from the direct image detector. Furthermore, for specific grid frequencies and angles, we use a simple 1D LPF in the spatial domain and compare the performance with similar spatial-domain filtering approaches of Barski and Wang 19 and Belykh and Cornelius. 20 The proposed algorithm can further suppress the grid artifacts and maintain the object sharpness compared to the previous approaches, and can be implemented with very low implementation complexity since the discrete Fourier transform and any estimating scheme for artifact frequencies are not used.…”
mentioning
confidence: 99%