ArticleMedical dosimetry : official journal of the American Association of Medical Dosimetrists
Dosimetric study on learning-based cone-beam CT correction in adaptive radiation therapy.
Article in Medical dosimetry : official journal of the American Association of Medical Dosimetrists. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Deep learning-based multi-modality image conversion for evaluating dose calculation and position correction accuracy in image-guided radiation therapy.Radiological physics and technology · 2026Article
- Task-based image quality and dosimetric validation of HyperSight CBCT for adaptive radiotherapy.Journal of applied clinical medical physics · 2026Article
- Evaluation of dose delivery based on deformed CT using a commercial software for lung cancer.Scientific reports · 2024Article
- The geometric and dosimetric accuracy of kilovoltage cone beam computed tomography images for adaptive treatment: a systematic review.BJR open · 2023Article
- Deep learning-based thoracic CBCT correction with histogram matching.Biomedical physics & engineering express · 2021Article
- Knowledge-based radiation treatment planning: A data-driven method survey.Journal of applied clinical medical physics · 2021Review
- A review of deep learning based methods for medical image multi-organ segmentation.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2021Review
- Learning-Based Stopping Power Mapping on Dual-Energy CT for Proton Radiation Therapy.International journal of particle therapy · 2021Article
- A review on medical imaging synthesis using deep learning and its clinical applications.Journal of applied clinical medical physics · 2021Review
- A Deep Unsupervised Learning Model for Artifact Correction of Pelvis Cone-Beam CT.Frontiers in oncology · 2021Article
- Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part II: Offline and online plan adaption for interfractional changes.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2020Article
- Deep learning in medical image registration: a review.Physics in medicine and biology · 2020Review
- Pelvic multi-organ segmentation on cone-beam CT for prostate adaptive radiotherapy.Medical physics · 2020Article
- Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2020Review
- Deep learning-based image quality improvement for low-dose computed tomography simulation in radiation therapy.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Paired cycle-GAN-based image correction for quantitative cone-beam computed tomography.Medical physics · 2019Article
- MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method.Physics in medicine and biology · 2019Article
- Evaluation of Dose Calculation Based on Cone-Beam CT Using Different Measuring Correction Methods for Head and Neck Cancer Patients.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
13 authors.
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Abstract
introductionCone-beam CT (CBCT) image quality is important for its quantitative analysis in adaptive radiation therapy. However, due to severe artifacts, the CBCTs are primarily used for verifying patient setup only so far. We have developed a learning-based image quality improvement method which could provide CBCTs with image quality comparable to planning CTs (pCTs). The accuracy of dose calculations based on these CBCTs is unknown. In this study, we aim to investigate the dosimetric accuracy of our corrected CBCT (CCBCT) in brain stereotactic radiosurgery (SRS) and pelvic radiotherapy. MATERIALS AND
methodsWe retrospectively investigated a total of 32 treatment plans from 22 patients, each of whom with both original treatment pCTs and CBCTs acquired during treatment setup. The CCBCT and original CBCT (OCBCT) were registered to the pCT for generating CCBCT-based and OCBCT-based treatment plans. The original pCT-based plans served as ground truth. Clinically-relevant dose volume histogram (DVH) metrics were extracted from the ground truth, OCBCT-based and CCBCT-based plans for comparison. Gamma analysis was also performed to compare the absorbed dose distributions between the pCT-based and OCBCT/CCBCT-based plans of each patient.
resultsCCBCTs demonstrated better image contrast and more accurate HU ranges when compared side-by-side with OCBCTs. For pelvic radiotherapy plans, the mean dose error in DVH metrics for planning target volume (PTV), bladder and rectum was significantly reduced, from 1% to 0.3%, after CBCT correction. The gamma analysis showed the average pass rate increased from 94.5% before correction to 99.0% after correction. For brain SRS treatment plans, both original and corrected CBCT images were accurate enough for dose calculation, though CCBCT featured higher image quality.
conclusionCCBCTs can provide a level of dose accuracy comparable to traditional pCTs for brain and prostate radiotherapy planning and the correction method proposed here can be useful in CBCT-guided adaptive radiotherapy.
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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.