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High-Dynamic-Range CT Reconstruction Based on Varying Tube-Voltage Imaging.

Chen P, Han Y, Pan J - PLoS ONE (2015)

Bottom Line: To address this problem, high-dynamic-range CT (HDR-CT) reconstruction is proposed.For this new method, the tube's voltage is adjusted several times to match the corresponding effective thickness about the local information from an object.Then, HDR fusion and HDR-CT are applied to obtain the full reconstruction information.

View Article: PubMed Central - PubMed

Affiliation: National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, 030051, China.

ABSTRACT
For complicated structural components characterized by wide X-ray attenuation ranges, the conventional computed tomography (CT) imaging using a single tube-voltage at each rotation angle cannot obtain all structural information. This limitation results in a shortage of CT information, because the effective thickness of the components along the direction of X-ray penetration exceeds the limitation of the dynamic range of the X-ray imaging system. To address this problem, high-dynamic-range CT (HDR-CT) reconstruction is proposed. For this new method, the tube's voltage is adjusted several times to match the corresponding effective thickness about the local information from an object. Then, HDR fusion and HDR-CT are applied to obtain the full reconstruction information. An accompanying experiment demonstrates that this new technology can extend the dynamic range of X-ray imaging systems and provide the complete internal structures of complicated structural components.

No MeSH data available.


The processed gray figure about 90kV and 100kV.That has excluded the non-interesting area (overexposed area and “strip-like” noise).
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pone.0141789.g007: The processed gray figure about 90kV and 100kV.That has excluded the non-interesting area (overexposed area and “strip-like” noise).

Mentions: From Fig 6, we should calculate the gray gain coefficient from the approximate linear point set. Here we can use the linear fit to obtain the gray gain coefficient. However, the gray values of the overexposed regions and the “strip-like” noise (labeled in Fig 6) will affect the fitting precision. Therefore, we must eliminate these factors. Also from Fig 4, the overexposed and noise area is the effective region in lower-voltage image. Therefore, we can define the overexposed area, whose gray is more than 4000. And this overexposed region is the effective area at lower voltages. So in the image of the lower voltage, define the overexposed area by gray threshold. Then use this defined region to eliminate the corresponding areas in the higher-voltage image. The processed gray of 90kV and 100kV figure is presented in Fig 7.


High-Dynamic-Range CT Reconstruction Based on Varying Tube-Voltage Imaging.

Chen P, Han Y, Pan J - PLoS ONE (2015)

The processed gray figure about 90kV and 100kV.That has excluded the non-interesting area (overexposed area and “strip-like” noise).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4636367&req=5

pone.0141789.g007: The processed gray figure about 90kV and 100kV.That has excluded the non-interesting area (overexposed area and “strip-like” noise).
Mentions: From Fig 6, we should calculate the gray gain coefficient from the approximate linear point set. Here we can use the linear fit to obtain the gray gain coefficient. However, the gray values of the overexposed regions and the “strip-like” noise (labeled in Fig 6) will affect the fitting precision. Therefore, we must eliminate these factors. Also from Fig 4, the overexposed and noise area is the effective region in lower-voltage image. Therefore, we can define the overexposed area, whose gray is more than 4000. And this overexposed region is the effective area at lower voltages. So in the image of the lower voltage, define the overexposed area by gray threshold. Then use this defined region to eliminate the corresponding areas in the higher-voltage image. The processed gray of 90kV and 100kV figure is presented in Fig 7.

Bottom Line: To address this problem, high-dynamic-range CT (HDR-CT) reconstruction is proposed.For this new method, the tube's voltage is adjusted several times to match the corresponding effective thickness about the local information from an object.Then, HDR fusion and HDR-CT are applied to obtain the full reconstruction information.

View Article: PubMed Central - PubMed

Affiliation: National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, 030051, China.

ABSTRACT
For complicated structural components characterized by wide X-ray attenuation ranges, the conventional computed tomography (CT) imaging using a single tube-voltage at each rotation angle cannot obtain all structural information. This limitation results in a shortage of CT information, because the effective thickness of the components along the direction of X-ray penetration exceeds the limitation of the dynamic range of the X-ray imaging system. To address this problem, high-dynamic-range CT (HDR-CT) reconstruction is proposed. For this new method, the tube's voltage is adjusted several times to match the corresponding effective thickness about the local information from an object. Then, HDR fusion and HDR-CT are applied to obtain the full reconstruction information. An accompanying experiment demonstrates that this new technology can extend the dynamic range of X-ray imaging systems and provide the complete internal structures of complicated structural components.

No MeSH data available.