Application of radiomics-based image filtering to improve deformable image registration accuracy in thoracic images

By applying radiomics-based image filtering before DIR as a preprocessing, the registration error was lower than that of conventional CT-based DIR, suggesting that using radiomics may improve the accuracy of DIR.

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Publication Details

Journal
Physics and Imaging in Radiation Oncology
Published
2025-12-17
DOI
https://doi.org/10.1016/j.phro.2025.100894
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of radiomics-based image filtering to improve deformable image registration accuracy in thoracic images

Physics and Imaging in Radiation Oncology
Radiomics and Machine Learning in Medical Imaging
article

Application of radiomics-based image filtering to improve deformable image registration accuracy in thoracic images

article en

Abstract

By applying radiomics-based image filtering before DIR as a preprocessing, the registration error was lower than that of conventional CT-based DIR, suggesting that using radiomics may improve the accuracy of DIR.

Physics and Imaging in Radiation OncologyVol. 37
Iwate Medical University (JP), Tohoku University (JP)
Openalex Percentile: Top 32%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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Application of radiomics-based image filtering to improve deformable image registration accuracy in thoracic images · Physics and Imaging in Radiation Oncology (2025) | TGRS Research Map | TGRS