Method for reconstructing incomplete data of X-ray absorption contrast computed tomography based on deep learning

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United States of America Patent

PATENT NO 11386595
SERIAL NO

17031096

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The present invention discloses a method for reconstructing incomplete data of X-ray absorption contrast computed tomography (CT) based on deep learning (DL). The method includes the following steps: using a filtered back projection (FBP) algorithm to obtain an initial reconstructed image; forward projecting the initial reconstructed image to obtain artifact-contaminated complete projection sequences; using a DL technique to process the artifact-contaminated projection sequences to obtain artifact-free projection sequences; using the FBP algorithm to reconstruct the artifact-free projection sequences to obtain a final reconstructed image. Compared with the traditional incomplete data reconstruction methods, the examples of the present invention feature a simpler calculation process, fewer parameters to be manually set, a faster calculation speed and higher image quality.

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Patent Owner(s)

Patent OwnerAddress
BEIHANG UNIVERSITYNO 37 XUEYUAN ROAD HAIDIAN DISTRICT BEIJING 100191 100191
JIANGXI RESEARCH INSTITUTE OF BEIHANG UNIVERSITYBUILDING NO 1 TECHNOLOGY INNOVATION CENTER HIGH-TECH ZONE NANCHANG JIANGXI

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Dong, Jianbing Beijing, CN 1 0
Fu, Jian Beijing, CN 22 116
Zhang, Changsheng Beijing, CN 6 9

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