ArticleTechnology in cancer research & treatment2019
Evaluation and Clinical Application of a Commercially Available Iterative Reconstruction Algorithm for CBCT-Based IGRT.
Article in Technology in cancer research & treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Towards adaptive radiotherapy: Comparing HyperSight and standard CBCT reconstructions on a C-Arm Linac.Journal of applied clinical medical physics · 2026Article
- Development of CBCT-Guided Online Adaptive Radiotherapy.Cancers · 2026Review
- HyperSightRadiation oncology (London, England) · 2026Article
- Article
- Multispectral PCCT and CBCT imaging for high precision radiotherapy through translation of imaging parameters with machine learning validation.Scientific reports · 2026Article
- CBCT-based adaptive radiotherapy and automated radiotherapy decision-making systems: development and current status.Frontiers in oncology · 2026Review
- Evaluation of volumetric modulated arc therapy dose calculation plans based on kV-cone beam CT images for the breast cancer treatment.Physical and engineering sciences in medicine · 2025Article
- Single-Center Preliminary Experience Treating Endometrial Cancer Patients with Fiducial Markers.Life (Basel, Switzerland) · 2025Article
- Development of an automated CBCT-based simulation-free platform for expedited palliative radiotherapy on a conventional linear accelerator.Journal of applied clinical medical physics · 2025Article
- Dose calculation accuracy of clinical radiotherapy plans using next generation cone beam computed tomography imaging technology.Physics and imaging in radiation oncology · 2025Article
- Deep learning based super-resolution for CBCT dose reduction in radiotherapy.Medical physics · 2025Article
- Uncertainty estimation in female pelvic synthetic computed tomography generated from iterative reconstructed cone-beam computed tomography.Physics and imaging in radiation oncology · 2025Article
- Evaluation of a Metal Artifact Reduction Algorithm for Image Reconstruction on a Novel CBCT Platform.Journal of applied clinical medical physics · 2024Article
- Evaluation of knowledge-based planning models for male pelvic CBCT-based online adaptive radiotherapy on conventional linear accelerators.Journal of applied clinical medical physics · 2024Article
- The effects of distance between the imaging isocenter and brain center on the image quality of cone-beam computed tomography for brain stereotactic irradiation.Physical and engineering sciences in medicine · 2024Article
- Impact of technological advances in treatment planning, image guidance, and treatment delivery on target margin design for prostate cancer radiotherapy: an updated review.The British journal of radiology · 2024Review
- A quantitative CBCT pipeline based on 2D antiscatter grid and grid-based scatter sampling for image-guided radiation therapy.Medical physics · 2023Article
- Review of cone beam computed tomography based online adaptive radiotherapy: current trend and future direction.Radiation oncology (London, England) · 2023Review
- Adaptive Radiation Therapy (ART) Strategies and Technical Considerations: A State of the ART Review From NRG Oncology.International journal of radiation oncology, biology, physics · 2021Review
- Fast-switching dual energy cone beam computed tomography using the on-board imager of a commercial linear accelerator.Physics in medicine and biology · 2020Article
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11 authors.
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Abstract
purposeWe have quantitatively evaluated the image quality of a new commercially available iterative cone-beam computed tomography reconstruction algorithm over standard cone-beam computed tomography image reconstruction results.
methodsThis iterative cone-beam computed tomography reconstruction pipeline uses a finite element solver (AcurosCTS)-based scatter correction and a statistical (iterative) reconstruction in addition to a standard kernel-based correction followed by filtered back-projection-based Feldkamp-Davis-Kress cone-beam computed tomography reconstruction. Standard full-fan half-rotation Head, half-fan full-rotation Head, and standard Pelvis cone-beam computed tomography protocols have been investigated to scan a quality assurance phantom via the following image quality metrics: uniformity, HU constancy, spatial resolution, low contrast detection, noise level, and contrast-to-noise ratio. An anthropomorphic head phantom was scanned for verification of noise reduction. Clinical patient image data sets for 5 head/neck patients and 5 prostate patients were qualitatively evaluated.
resultsQuality assurance phantom study results showed that relative to filtered back-projection-based cone-beam computed tomography, noise was reduced from 28.8 ± 0.3 HU to a range between 18.3 ± 0.2 and 5.9 ± 0.2 HU for Full-Fan Head scans, from 14.4 ± 0.2 HU to a range between 12.8 ± 0.3 and 5.2 ± 0.3 HU for Half-Fan Head scans, and from 6.2 ± 0.1 HU to a range between 3.8 ± 0.1 and 2.0 ± 0.2 HU for Pelvis scans, with the iterative cone-beam computed tomography algorithm. Spatial resolution was marginally improved while results for uniformity and HU constancy were similar. For the head phantom study, noise was reduced from 43.6 HU to a range between 24.8 and 13.0 HU for a Full-Fan Head and from 35.1 HU to a range between 22.9 and 14.0 HU for a Half-Fan Head scan. The patient data study showed that artifacts due to photon starvation and streak artifacts were all reduced, and image noise in specified target regions were reduced to 62% ± 15% for 10 patients.
conclusionNoise and contrast-to-noise ratio image quality characteristics were significantly improved using the iterative cone-beam computed tomography reconstruction algorithm relative to the filtered back-projection-based cone-beam computed tomography method. These improvements will enhance the accuracy of cone-beam computed tomography-based image-guided applications.
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