Microtomography with sandwich detectors for small-animal bone imaging

Kim, S.H.; Kim, D.W.; Kim, D.; Youn, Hanbean; Cho, Sang-Yeon; Kim, H.K.

doi:10.1088/1748-0221/11/10/p10011

Cited by 10 publications

(13 citation statements)

References 31 publications

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“…It can improve the visibility of details with high spatial-frequency contents. Simultaneously, it can play a role as the halo artefacts usually along boundaries [8]. Figure 3 shows all images with enhanced edges.…”

Section: Resultsmentioning

confidence: 92%

“…Detailed information on the prototype flat-panel sandwich detector can be found in ref. [8]. We use a sheet of copper (Cu) foil as an in-between filter layer.…”

Section: Methodsmentioning

confidence: 99%

“…We also note that a combination of scintillation crystals/photomultiplier tubes [4] or a gaseous xenon ionization chamber [5] was used for a singleshot DE computed tomography (CT). Recently, we have introduced the use of a pair of phosphorcoupled photodiode arrays for a flat-panel sandwich detector configuration [6,7], and demonstrated the sandwich detector for use in small-animal radiography and CT [8].…”

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confidence: 99%

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Noise-reduction approaches to single-shot dual-energy imaging with a multilayer detector

et al. 2019

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The single-shot dual-energy (DE) method using a sandwich-like multilayer detector generally suffers from noise in the resultant DE images due to the poor quantum noise in images obtained from the rear detector layer and its amplification due to the subtraction operation in DE reconstruction. The use of interlayer metal filter can further increase noise in DE images by increasing the rear-detector quantum noise. We have adopted several noise-reduction algorithms to the singleshot DE reconstruction, which included the Gaussian-filtering noise reduction (GNR), the medianfiltering noise reduction (MNR), and the anti-correlated noise reduction (ANR). We assessed the effectiveness of noise-reduction methods by investigating noise and dose-normalized contrast-tonoise ratio for a mouse-mimicking phantom consisting of aluminum bone and polyurethane soft tissues. Noise-power spectrum was also measured to investigate correlation noise. Overall, the ANR showed the best performance. At some extreme imaging technique conditions, such as a lower tube voltages and a larger spectral energy separation using thick copper sheets between the front and rear detector layers, the MNR outperformed the ANR. The performance of GNR was nearly similar to that of MNR. The results were well reflected into demonstration bone images obtained for a postmortem mouse. Although the ANR was effective to reduce noise in the single-shot DE imaging using the sandwich detector, multivariate optimization of ANR parameters with respect to imaging tasks and imaging techniques is remained as a future study. K: Medical-image reconstruction methods and algorithms, computer-aided diagnosis; X-ray radiography and digital radiography (DR)

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Section: Resultsmentioning

confidence: 92%

“…Detailed information on the prototype flat-panel sandwich detector can be found in ref. [8]. We use a sheet of copper (Cu) foil as an in-between filter layer.…”

Section: Methodsmentioning

confidence: 99%

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confidence: 99%

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Noise-reduction approaches to single-shot dual-energy imaging with a multilayer detector

et al. 2019

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“…Single-shot dual-energy (DE) method using a sandwich detector has been explored for specific tissue-selective imaging where motion artifacts can be of greater concern than a modest penalty in contrast-to-noise performance for a given dose [1][2][3][4]. When constructing a sandwich detector, the use of a thinner phosphor at the front detector is to allow x-ray beam transmittance through the front layer while the use of a thicker phosphor at the rear one is preferable to enhance the detection efficiency of relatively higher-energy x-ray photons at the rear layer.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, it is hard to obtain high contrast DE images from a sandwich detector without sacrificing image noise because a large energy separation (i.e., low transmittance) reduces the number of x-ray photons reaching the rear detector, increasing image quantum noise [3,5,6]. Subtractive DE reconstruction further increases DE image noise [4].…”

Section: Introductionmentioning

confidence: 99%

Cascaded-systems analysis of sandwich x-ray detectors

Kim

Yun

et al. 2016

J. Inst.

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Active sandwich-like multilayer detectors have been developed, and their potential for motion-artifact-free dual-energy x-ray imaging at a single exposure has been demonstrated in the material decomposition context. Since the sandwich detector uses the x-ray beam transmittance through the front layer, direct x-ray interaction within photodiodes in the front layer is unavoidable, and which can increase noise in the front detector images. Similar direct x-ray interaction can also occur in the rear detector layer. To obtain a better contrast performance, an additional filter layer can be placed between the two detector layers. However, this filter layer can increase adversely noise in images obtained from the rear detector layer by reducing the number of x-ray photons reaching it. A theoretical model, which can describe the signal-to-noise performance of the sandwich detector as functions of various design parameters, has been developed by using a linear cascaded-systems theory. From the cascaded-systems analysis, the direct x-ray interaction increases noise at the high spatial frequencies where the number of secondary quanta lessens. The intermediate filter layer enhances the contribution of additive electronic noise in the overall noise performance of the rear detector layer. The detailed cascaded-systems analysis on the x-ray sandwich detectors are reported in comparisons with the measured noise-power spectra and detective quantum efficiencies. The developed model will be useful for a better design and practical use of a sandwich detector for single-shot dual-energy imaging. K: Detector design and construction technologies and materials; Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc); X-ray radiography and digital radiography (DR)1He is now affiliated with the Samsung Electronics Co.

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Duo-Spectral Imaging with Multilayered Energy-Integrating Detectors

Kim

2024

Emerging Radiation Detection

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Microtomography with sandwich detectors for small-animal bone imaging

Cited by 10 publications

References 31 publications

Noise-reduction approaches to single-shot dual-energy imaging with a multilayer detector

Noise-reduction approaches to single-shot dual-energy imaging with a multilayer detector

Cascaded-systems analysis of sandwich x-ray detectors

Duo-Spectral Imaging with Multilayered Energy-Integrating Detectors

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