Dose Reduction in 4-Dimensional Computed Tomography Imaging: Breathing Signal-Guided Deep Learning-Driven Data Acquisition

The proposed DL-driven data acquisition approach has the ability to reduce radiation exposure during 4D CT imaging while preserving diagnostic quality, offering a clinically viable, ALARA-adhering solution for 4D CT imaging.

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Publication Details

Journal
International Journal of Radiation Oncology*Biology*Physics
Published
2025-09-22
DOI
https://doi.org/10.1016/j.ijrobp.2025.08.047
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Dose Reduction in 4-Dimensional Computed Tomography Imaging: Breathing Signal-Guided Deep Learning-Driven Data Acquisition

Lukas Wimmert, Tobias Gauerd, Jannis Dickmanne, Christian Hofmanne et al.
International Journal of Radiation Oncology*Biology*Physics
Advanced Radiotherapy Techniques
article

Dose Reduction in 4-Dimensional Computed Tomography Imaging: Breathing Signal-Guided Deep Learning-Driven Data Acquisition

Lukas Wimmert, Tobias Gauerd, Jannis Dickmanne, Christian Hofmanne, Thilo Sentkera, Rene Wernera
article en

Abstract

The proposed DL-driven data acquisition approach has the ability to reduce radiation exposure during 4D CT imaging while preserving diagnostic quality, offering a clinically viable, ALARA-adhering solution for 4D CT imaging.

International Journal of Radiation Oncology*Biology*PhysicsVol. 124(2)
Universität Hamburg (DE), University Medical Center Hamburg-Eppendorf (DE), Siemens Healthineers (Germany) (DE)
Deutsche Forschungsgemeinschaft, Siemens Healthineers
Openalex Percentile: Top 67%
Advanced Radiotherapy Techniques
DOIOpen Access PDFOpenAlex
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