[A segmented backprojection tensor degradation feature encoding model for motion artifacts correction in dental cone beam computed tomography].

The SBP-MAC model can effectively extract spatially varying motion information in the tensors and achieve adaptive artifact correction from the tensor domain to the image domain to improve the quality of reconstructed dental CBCT images.

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Publication Details

Journal
PubMed
Published
2025-02-20
DOI
https://doi.org/10.12122/j.issn.1673-4254.2025.02.23
Primary Topic
Medical Imaging Techniques and Applications
Type
article
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article

[A segmented backprojection tensor degradation feature encoding model for motion artifacts correction in dental cone beam computed tomography].

Zhijie Lin, Zhixiong Zeng, Zhaoying Bian, Jianhua Ma et al.
PubMed
Medical Imaging Techniques and Applications
article

[A segmented backprojection tensor degradation feature encoding model for motion artifacts correction in dental cone beam computed tomography].

Zhijie Lin, Zhixiong Zeng, Zhaoying Bian, Jianhua Ma, Yongbo Wang
article en

Abstract

The SBP-MAC model can effectively extract spatially varying motion information in the tensors and achieve adaptive artifact correction from the tensor domain to the image domain to improve the quality of reconstructed dental CBCT images.

PubMedVol. 45(2)
Southern Medical University (CN), Xi'an Jiaotong University (CN)
Medical Imaging Techniques and Applications
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