ArticleJournal of applied clinical medical physics2023
Effect of metal implants and metal artifacts on back-projected two-dimensional entrance fluence determined by EPID dosimetry.
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 2 papers.
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2 citing papers in PubMed, 3 citations in OpenAlex.
- Effectiveness of EPID-based in-vivo dosimetry with EPIgraySaudi medical journal · 2025Article
- Effect of metal implants and metal artifacts on back-projected two-dimensional entrance fluence determined by EPID dosimetry.Journal of applied clinical medical physics · 2023Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo evaluate the errors caused by metal implants and metal artifacts in the two-dimensional entrance fluences reconstructed using the back-projection algorithm based on electronic portal imaging device (EPID) images.
methodsThe EPID in the Varian VitalBeam accelerator was used to acquire portal dose images (PDIs), and then commercial EPID dosimetry software was employed to reconstruct the two-dimensional entrance fluences based on computed tomography (CT) images of the head phantoms containing interchangeable metal-free/titanium/aluminum round bars. The metal-induced errors in the two-dimensional entrance fluences were evaluated by comparing the γ results and the pixel value errors in the metal-affected regions. We obtained metal-artifact-free CT images by replacing the voxel values of non-metal inserts with those of metal inserts in metal-free CT images to evaluate the metal-artifact-induced errors.
resultsThe γ passing rates (versus PDIs obtained without a phantom in the beam field (PDI
conclusionMetal implants increase the errors in back-projected two-dimensional entrance fluences, and metals with higher electron densities cause more errors. For high-electron-density metal implants that produce severe metal artifacts (e.g., titanium), removing metal artifacts from the CT images can improve the accuracy of the two-dimensional entrance fluences reconstructed by back-projection algorithms.
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