Non‐orthogonal kV imaging guided patient position verification in non‐coplanar radiation therapy with dataset‐free implicit neural representation

We proposed a dataset-free lightweight INR-based registration with a composite similarity measure for the challenging 2D-3D registration problem with limited-angle CBCT scans. Comprehensive evaluations of both simulation data and experimental phantom data demonstrated the efficiency, accuracy, and robustness of the proposed method.

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Publication Details

Journal
Medical Physics
Published
2025-05-19
DOI
https://doi.org/10.1002/mp.17885
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Non‐orthogonal kV imaging guided patient position verification in non‐coplanar radiation therapy with dataset‐free implicit neural representation

Yizheng Chen, Siqi Wang, Lei Xing, Siqi Ye et al.
Medical Physics
Advanced Radiotherapy Techniques
article

Non‐orthogonal kV imaging guided patient position verification in non‐coplanar radiation therapy with dataset‐free implicit neural representation

Yizheng Chen, Siqi Wang, Lei Xing, Siqi Ye, Yu Gao
article en

Abstract

We proposed a dataset-free lightweight INR-based registration with a composite similarity measure for the challenging 2D-3D registration problem with limited-angle CBCT scans. Comprehensive evaluations of both simulation data and experimental phantom data demonstrated the efficiency, accuracy, and robustness of the proposed method.

Medical PhysicsVol. 52(7)
Stanford University (US)
National Institutes of Health
Openalex Percentile: Top 87%
Advanced Radiotherapy Techniques
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