ArticleComputational and mathematical methods in medicine2018
Prediction-Based Compensation for Gate On/Off Latency during Respiratory-Gated Radiotherapy.
Article in Computational and mathematical methods in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Log file-based quality assurance method for respiratory gating system.Journal of applied clinical medical physics · 2025Article
- Clinical applicability of deep learning-based respiratory signal prediction models for four-dimensional radiation therapy.PloS one · 2022Article
- Accuracy of real-time respiratory motion tracking and time delay of gating radiotherapy based on optical surface imaging technique.Radiation oncology (London, England) · 2020Article
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3 authors.
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Abstract
During respiratory-gated radiotherapy (RGRT), gate on and off latencies cause deviations of gating windows, possibly leading to delivery of low- and high-dose radiations to tumors and normal tissues, respectively. Currently, there are no RGRT systems that have definite tools to compensate for the delays. To address the problem, we propose a framework consisting of two steps: (1) multistep-ahead prediction and (2) prediction-based gating. For each step, we have devised a specific algorithm to accomplish the task. Numerical experiments were performed using respiratory signals of a phantom and ten volunteers, and our prediction-based RGRT system exhibited superior performance in more than a few signal samples. In some, however, signal prediction and prediction-based gating did not work well, maybe due to signal irregularity and/or baseline drift. The proposed approach has potential applicability in RGRT, and further studies are needed to verify and refine the constituent algorithms.
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