CBCT projection domain metal segmentation for metal artifact reduction using hessian‐inspired dual‐encoding network with guidance from segment anything model

The proposed methods would advance MAR techniques in CBCT and have the potential to push forward the use of intraoperative CBCT in human-handed and robotic-assisted MISS.

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Publication Details

Journal
Medical Physics
Published
2025-02-28
DOI
https://doi.org/10.1002/mp.17716
Citations
2
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
1.43

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article

CBCT projection domain metal segmentation for metal artifact reduction using hessian‐inspired dual‐encoding network with guidance from segment anything model

Yan Xi, Wentao Zhu, Tianling Lyu, Yang Chen et al.
2 citations
Medical Physics
Welding Techniques and Residual Stresses
1.43
article

CBCT projection domain metal segmentation for metal artifact reduction using hessian‐inspired dual‐encoding network with guidance from segment anything model

Yan Xi, Wentao Zhu, Tianling Lyu, Yang Chen, Zhan Wu, Chen Jiang, Xinyun Zhong, Gege Ma
article en
2 citations

Abstract

The proposed methods would advance MAR techniques in CBCT and have the potential to push forward the use of intraoperative CBCT in human-handed and robotic-assisted MISS.

Medical PhysicsVol. 52(6)
Zhejiang Lab (CN), United Imaging Healthcare (China) (CN), Southeast University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 22%
Welding Techniques and Residual Stresses
1.43
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