VirtualDose-IR: a cloud-based software for reporting organ doses in interventional radiology

作者：Wanli Huo, Yifei Pi, Mang Feng, Yaping Qi, Yiming Gao, P Caracappa, Zhi Chen, Xie George Xu · 发表于：Physics in Medicine and Biology · 年份：2019 · DOI：10.1088/1361-6560/ab0bd5 · 被引用次数：15 · 研究领域：Radiation Dose and Imaging、Digital Radiography and Breast Imaging、Advanced X-ray and CT Imaging

Abstract A cloud-based software, VirtualDose-IR (Virtual Phantoms Inc., Albany, New York, USA), designed to report organ doses and effective doses for a diverse patient population from interventional radiology (IR) procedures has been developed and tested. This software is based on a comprehensive database of Monte Carlo-generated organ dose built with a set of 21 anatomically realistic patient phantoms. The patient types included in this database are both male and female people with different ages reflecting reference adults, obese people with different BMIs and pregnant women at different gestational stages. Selectable parameters such as patient type, tube voltage, filtration thickness, beam direction, field size, and irradiation site are also considered in VirtualDose-IR. The software has been implemented using the ‘Software as a Service (SaaS)’ delivery concept permitting simultaneous multi-user, multi-platform access without requiring local installation. The patient doses resulting from different target sites and patient populations were reported using the VirtualDose-IR system. The patient doses under different source to surface distances (SSD) and beam angles calculated by VirtualDose-IR and Monte Carlo simulations were compared. For most organs, the dose differences between VirtualDose-IR results and Monte Carlo results were less than 0.3 mGy at 15 000 mGy * cm 2 kerma-area product (KAP). The organ dose results were compared with measurement data previously reported i...