ArticleJournal of applied clinical medical physics2025
Characterization of a prototype rapid kilovoltage x-ray image guidance system designed for a linear accelerator radiation therapy unit.
Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Quantitative stability of CT numbers in novel cone-beam CT: An intra-institution cross-scanner and longitudinal analysis.Journal of applied clinical medical physics · 2026Article
- Patient-reported distress and anxiety during cone-beam CT imaging sessions with increased gantry rotation speeds.Technical innovations & patient support in radiation oncology · 2026Article
- Refining imaging parameters for dual-energy cone-beam computed tomography in image-guided radiation therapy.Journal of applied clinical medical physics · 2026Article
- First evaluation of in-patient dose calculation accuracy on a C-arm Linear Accelerator with advanced Cone-Beam computed tomography (CBCT) imaging.Physics and imaging in radiation oncology · 2026Article
- Quantifying gantry rotation speed and gating effects on CBCT isocenter accuracy for radiotherapy image acquisition.Physics and imaging in radiation oncology · 2026Article
- Prior information-based subtraction radiography for enhanced tumor visibility in image-guided radiotherapy.Frontiers in oncology · 2026Article
- Correlation between exposure (mAs) and image quality for a rapid cone-beam CT on a ring gantry linear accelerator.Journal of applied clinical medical physics · 2025Article
- Hounsfield Unit characterization and dose calculation on a C-arm linac with novel on-board cone-beam computed tomography feature and advanced reconstruction algorithms.Journal of applied clinical medical physics · 2025Article
- Characterization of a prototype rapid kilovoltage x-ray image guidance system designed for a linear accelerator radiation therapy unit.Journal of applied clinical medical physics · 2025Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study evaluates a novel cone-beam computed tomography (CBCT) imaging solution integrated onto a conventional C-arm linear accelerator (linac) with increased gantry speed. The purpose is to assess the impact of improved imaging hardware and reconstruction algorithms on image quality.
methodsHypersight-CBCT (HS-CBCT) system was compared with the original system (OG-CBCT) on a TrueBeam linac. Performance tests included mechanical, geometric, setup accuracy, and image quality assessment. Image quality metrics were evaluated using conventional CBCT reconstruction and advanced iterative reconstruction (iCBCT), fast iCBCT, and iCBCT with metal artifact reduction. Dosimetry measurements were acquired.
resultsThe HS-CBCT system acquired images in 24.0-44.0s (half trajectory/full trajectory), faster than the OG-CBCT system's acquisition time of 33.5-60.5s (half trajectory/full trajectory). The HS-CBCT system's faster gantry speed resulted in comparable image quality to the OG-CBCT. It improved high-contrast resolution, modulation transfer function, and low-contrast visibility. The faster gantry speed also produced lower radiation doses. The system's uniformity and resolution also improved, particularly with full-fan acquisition techniques.
conclusionThe novel HS-CBCT system on a conventional C-arm linac exhibits superior imaging capabilities compared to the OG-CBCT. Faster gantry speed, larger imaging area, and advanced reconstruction algorithms contribute to enhanced image quality and reduced dose. The study provides comprehensive insights into the new system's performance, serving as a benchmark for future linac installations and highlighting potential benefits in clinical applications. Further investigations are suggested for 4D acquisitions and long-term machine performance.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.