Automatic, machine‐agnostic, convolution‐based beam, and fluence modeling for Monte Carlo independent dose calculation

The proposed machine-agnostic, convolution-based beam, and fluence modeling approach enabled efficient automatic commissioning for a wide range of clinical external photon beam machines. The fluence map-based dose calculation approached sub-minute dose calculation efficiency for arbitrary treatment plans. The proposed method has the potential to accelerate the adoption of MC calculation-based QA for online adaptive radiotherapy.

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Publication Details

Journal
Medical Physics
Published
2025-04-14
DOI
https://doi.org/10.1002/mp.17822
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00

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Automatic, machine‐agnostic, convolution‐based beam, and fluence modeling for Monte Carlo independent dose calculation

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Advanced Radiotherapy Techniques
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Automatic, machine‐agnostic, convolution‐based beam, and fluence modeling for Monte Carlo independent dose calculation

Andrew Godley, Mu‐Han Lin, Yang Park, Weiguo Lu, Mingli Chen, Arnold Pompoš, Jingying Lin
article en

Abstract

The proposed machine-agnostic, convolution-based beam, and fluence modeling approach enabled efficient automatic commissioning for a wide range of clinical external photon beam machines. The fluence map-based dose calculation approached sub-minute dose calculation efficiency for arbitrary treatment plans. The proposed method has the potential to accelerate the adoption of MC calculation-based QA for online adaptive radiotherapy.

Medical PhysicsVol. 52(7)
The University of Texas Southwestern Medical Center (US)
National Institutes of Health
Openalex Percentile: Top 91%
Advanced Radiotherapy Techniques
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