Development of a multi-energy CT for small animals: Characterization of the quasi-monochromatic X-ray source

Masetti, Simone; Fiaschetti, M.; Turco, Anna; Roma, L.; Rossi, Pier Luca; Mariselli, M.; Lanconelli, Nico; Baldazzi, G.

doi:10.1109/nssmic.2007.4437082

Cited by 2 publications

(3 citation statements)

References 12 publications

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“…nr UD UD T nr nr nr 2 (14) From (10), we have = a s 0 nr nr (15) Then to the (14), we have After the similar process to ( 8) and (11), then ( 9) and ( 12), we have the following update algorithm:…”

Section: Decomposition Model Of Multi-voltage X-ray Imagesmentioning

confidence: 99%

“…The approximation of monochromatic images by narrow-energy-width images can be implemented through multi-energy imaging with an X-ray photon counting detector [2,10]. Multi-energy imaging is an expansion of dual-energy CT [11,12], and the X-ray photon counting detector can be used to count discrete photon interactions [13]. The photon counting detector has energy selectivity, which provides contrast enhancement and a new material identification method for CT [14].…”

Section: Introductionmentioning

confidence: 99%

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Improved contrast of materials based on multi-voltage images decomposition in X-ray CT

Wei

Yan

Chen

2015

Meas. Sci. Technol.

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A polychromatic X-ray beam results in hardening artefacts and contrast reduction in the reconstructed image, increasing the difficulty of distinguishing materials with approximately linear attenuation coefficients. For this reason, a model is proposed to decompose multivoltage X-ray images into many 'narrow-energy-width' X-ray images by minimizing the weighted sum of the squared error in decomposition. This approach requires no change of hardware in the typical computed tomography imaging system. The 'narrow-energy-width' projection is obtained directly from the decomposition and is used to reconstruct the image. The distinction among materials with approximately linear attenuation coefficients is enlarged in the 'narrow-energy-width' reconstructed image. A cylinder composed of aluminium and silicon is used in the verification experiment. The contrast of silicon and aluminium is improved, and there is a significant difference between silicon and aluminium in the 'narrowenergy-width' reconstructed image, demonstrating the effectiveness of the proposed method.

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Section: Decomposition Model Of Multi-voltage X-ray Imagesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved contrast of materials based on multi-voltage images decomposition in X-ray CT

Wei

Yan

Chen

2015

Meas. Sci. Technol.

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“…The first approach obtains two or more X-ray spectra from an X-ray source. Representative techniques include dual-source scanning [3], [4], fast kVp switching [5], [6], K-edge filtering [7], [8], and quasi-monochromatic X-ray tuning [9]. The other approach assumes a single X-ray spectrum and acquires spectral data with a sandwich detector (dual/triple layers) or a photon counting detector [10]- [13].…”

Section: Introductionmentioning

confidence: 99%

Spectral CT Modeling and Reconstruction With Hybrid Detectors in Dynamic-Threshold-Based Counting and Integrating Modes

Chen

Cong

et al. 2015

IEEE Trans. Med. Imaging

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Spectral CT with photon counting detectors can significantly improve CT performance by reducing image noise and dose, increasing contrast resolution and material specificity, as well as enabling functional and molecular imaging with existing and emerging probes. However, the current photon counting detector architecture is difficult to balance the number of energy bins and the statistical noise in each energy bin. Moreover, the hardware support for multi-energy bins demands a complex circuit which is expensive. In this paper, we promote a new scheme known as hybrid detectors that combine the dynamic-threshold-based counting and integrating modes. In this scheme, an energy threshold can be dynamically changed during a spectral CT scan, which can be considered as compressive sensing along the spectral dimension. By doing so, the number of energy bins can be retrospectively specified, even in a spatially varying fashion. To establish the feasibility and merits of such hybrid detectors, we develop a tensor-based PRISM algorithm to reconstruct a spectral CT image from dynamic dual-energy data, and perform experiments with simulated and real data, producing very promising results.

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Development of a multi-energy CT for small animals: Characterization of the quasi-monochromatic X-ray source

Cited by 2 publications

References 12 publications

Improved contrast of materials based on multi-voltage images decomposition in X-ray CT

Improved contrast of materials based on multi-voltage images decomposition in X-ray CT

Spectral CT Modeling and Reconstruction With Hybrid Detectors in Dynamic-Threshold-Based Counting and Integrating Modes

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