Deep learning‐based estimation of respiration‐induced deformation from surface motion: A proof‐of‐concept study on 4D thoracic image synthesis

The results demonstrated the effectiveness of CEM on estimating tissue DVF inside thorax. CEM requires no patient-specific breathing data sampling and no additional training before treatment. It shows potential for broad applications.

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Publication Details

Journal
Medical Physics
Published
2025-04-05
DOI
https://doi.org/10.1002/mp.17804
Citations
3
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
5.65

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article

Deep learning‐based estimation of respiration‐induced deformation from surface motion: A proof‐of‐concept study on 4D thoracic image synthesis

Jie Zhang, Xue Bai, Guoping Shan
3 citations
Medical Physics
Advanced Radiotherapy Techniques
5.65
article

Deep learning‐based estimation of respiration‐induced deformation from surface motion: A proof‐of‐concept study on 4D thoracic image synthesis

Jie Zhang, Xue Bai, Guoping Shan
article en
3 citations

Abstract

The results demonstrated the effectiveness of CEM on estimating tissue DVF inside thorax. CEM requires no patient-specific breathing data sampling and no additional training before treatment. It shows potential for broad applications.

Medical PhysicsVol. 52(7)
Zhejiang Cancer Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Advanced Radiotherapy Techniques
5.65
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