Block-matching and 3D filtering algorithm in X-ray image with photon counting detector using the improved K-edge subtraction method

Among photon counting detector (PCD)-based technologies, the K-edge subtraction (KES) method has a very high material decomposition efficiency. Yet, since the increase in noise in the X-ray image to which the KES method is applied is inevitable, research on image quality improvement is essential. He...

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Veröffentlicht in:Nuclear engineering and technology Jg. 56; H. 6; S. 2057 - 2062
Hauptverfasser: Kim, Kyuseok, Lee, Youngjin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.06.2024
Elsevier
한국원자력학회
Schlagworte:
algorithms
Block-matching and 3D filtering algorithm
iodine
K-edge subtraction method
Monte Carlo method
Performance evaluation of image quality
Photon counting detector-based imaging
photons
technology
X-radiation
원자력공학
Performance evaluation of image quality
Photon counting detector-based imaging
Block-matching and 3D filtering algorithm
K-edge subtraction method
ISSN:1738-5733, 2234-358X
Online-Zugang:Volltext
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Zusammenfassung:Among photon counting detector (PCD)-based technologies, the K-edge subtraction (KES) method has a very high material decomposition efficiency. Yet, since the increase in noise in the X-ray image to which the KES method is applied is inevitable, research on image quality improvement is essential. Here, we modeled a block-matching and 3D filtering (BM3D) algorithm and applied it to PCD-based X-ray images with the improved KES (IKES) method. For PCD modeling, Monte Carlo simulation was used, and a phantom composed of iodine substances with different concentrations was designed. The IKES method was modeled by adding a log term to KES, and the X-ray image used for subtraction was obtained by applying the 3.0 keV range based on the K-edge region of iodine. As a result, the IKES image using the BM3D algorithm showed the lowest normalized noise power spectrum value. In addition, we confirmed that the contrast-to-noise ratio and no-reference-based evaluation results when the BM3D algorithm was applied to the IKES image were improved by 29.36 % and 20.56 %, respectively, compared to the noisy image. In conclusion, we demonstrated that the IKES imaging technique using a PCD-based detector and the BM3D algorithm fusion technique were very efficient for X-ray imaging.
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ISSN:1738-5733
2234-358X
DOI:10.1016/j.net.2024.01.013