proton convolution superposition (Varian Medical)
86
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Varian Medical
proton convolution superposition
Proton Convolution Superposition, supplied by Varian Medical, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/convolution+superposition/convolution+proton+superposition/pmc12989385-175-25-31
Average 86 stars, based on 1 article reviews
Proton Convolution Superposition, supplied by Varian Medical, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/convolution+superposition/convolution+proton+superposition/pmc12989385-175-25-31
Average 86 stars, based on 1 article reviews
proton convolution superposition - by Bioz Stars,
2026-11
86/100 stars
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other:Article Title: Proton dose calculation with transformer: Transforming spot map to dose. Article Snippet: Correspondence Jing Qian, Division of Medical Physics, Department of Radiation Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.. Email: Qian.Jing@mayo.edu Abstract Background: Conventional proton dose calculation methods are either timeand resource-intensive, like Monte Carlo (MC) simulations, or they sacrifice accuracy, as seen with analytical methods.. This trade-off between computational efficiency and accuracy highlights the need for improved dose calculation approaches in clinical settings. Article Title: Interfractional body surface monitoring using daily cone-beam computed tomography imaging for pediatric adaptive proton therapy Article Snippet: The proton convolution superposition (PCS) algorithm in Article Title: Multicenter multiplatform pattern-of-practice analysis of single-isocenter multitarget stereotactic radiosurgery Article Snippet: The 3 CK centers use type A (PencilBeam), 8 centers use Article Title: Quantitative assessment of dose accumulation uncertainty using a commercial deformable image registration algorithm in adaptive intensity-modulated proton therapy for prostate cancer. Article Snippet: Introduction: This work aims to quantify the dose accumulation uncertainty for prostate adaptive intensity modulated proton therapy (IMPT).. Methods: Pelvic CT images from ten prostate patients with 6 repeat CT (rCT) scans were selected.. The reference DVFs (DVFref) were generated by performing DIR between planning CT (pCT) and rCTs using a reference DIR algorithm. Article Title: Knowledge-based planning for intensity-modulated proton therapy of the breast and chest wall with regional lymph nodes: development, validation, and comparative evaluation of two models Article Snippet: Optimization was performed using the nonlinear Article Title: 2024 Annual Meeting Abstracts - General Poster Discussion. Article Snippet: Purpose: The application of artificial intelligence (AI) for an efficient IMRT quality assurance (QA) —which uses AI to identify IMRT plans for selective measurement — has demonstrated promising results in properly triaging plans for QA and potentially reducing the workload for measurement-based QA.. Yet its clinical implementation requires a comprehensive risk assessment to ensure patient safety.. This work evaluated our AI-assisted hybrid quality assurance (AIHQA) workflow using failure mode and effect analysis (FMEA). Article Title: Training and Validating a Knowledge-Based Model for Intensity Modulated Proton Therapy of Prostate and Pelvic Lymph Nodes Article Snippet: The Article Title: In silico interim adaptation of proton therapy in head and neck cancer by simultaneous dose and linear energy transfer escalation. Article Snippet: 2.3 Proton therapy plan and dose-LET optimization Proton therapy plans were made in head-first supine position with |