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Deterministic linear Boltzmann transport equation solver for patient‐specific CT dose estimation: Comparison against a Monte Carlo benchmark for realistic scanner configurations and patient models
Medical Physics ( IF 3.8 ) Pub Date : 2020-09-27 , DOI: 10.1002/mp.14494
Sara Principi 1 , Adam Wang 2 , Alexander Maslowski 3 , Todd Wareing 3 , Petr Jordan 3 , Taly Gilat Schmidt 1
Affiliation  

Epidemiological evidence suggests an increased risk of cancer related to computed tomography (CT) scans, with children exposed to greater risk. The purpose of this work is to test the reliability of a linear Boltzmann transport equation (LBTE) solver for rapid and patient‐specific CT dose estimation. This includes building a flexible LBTE framework for modeling modern clinical CT scanners and to validate the resulting dose maps across a range of realistic scanner configurations and patient models.

中文翻译:

用于患者特定 CT 剂量估计的确定性线性 Boltzmann 传输方程求解器:与现实扫描仪配置和患者模型的 Monte Carlo 基准进行比较

流行病学证据表明,与计算机断层扫描 (CT) 扫描相关的癌症风险增加,儿童面临更大的风险。这项工作的目的是测试线性玻尔兹曼传输方程 (LBTE) 求解器的可靠性,用于快速和患者特定的 CT 剂量估计。这包括构建灵活的 LBTE 框架以对现代临床 CT 扫描仪进行建模,并在一系列真实的扫描仪配置和患者模型中验证生成的剂量图。
更新日期:2020-09-27
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