ArticleJournal of applied clinical medical physics2023
Development of a prediction model for target positioning by using diaphragm waveforms extracted from CBCT projection images.
Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Intra-respiratory variation in tumour-diaphragm geometric association as a potential surrogate for dynamic tumour-tracking radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Deep learning-based super-resolution method for projection image compression in radiotherapy.Quantitative imaging in medicine and surgery · 2025Article
- Modeling and prediction of set‑up errors in breast cancer image‑guided radiotherapy using the Gaussian mixture model.Oncology letters · 2024Article
- Development of a prediction model for target positioning by using diaphragm waveforms extracted from CBCT projection images.Journal of applied clinical medical physics · 2023Article
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Authors and funding
8 authors.
Funding
Abstract
purposeTo develop a prediction model (PM) for target positioning using diaphragm waveforms extracted from CBCT projection images.
methodsNineteen patients with lung cancer underwent orthogonal rotational kV x-ray imaging lasting 70 s. IR markers placed on their abdominal surfaces and an implanted gold marker located nearest to the tumor were considered as external surrogates and the target, respectively. Four different types of regression-based PM were trained using surrogate motions and target positions for the first 60 s, as follows: Scenario A: Based on the clinical scenario, 3D target positions extracted from projection images were used as they were (PM
resultsThe 3D prediction error within 3 mm was 77.3% for PM
conclusionPM
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