Dosimetry assessment method and system for organ at risk in esophageal radiotherapy plan

US11515025B2 · kind B2 · utility

Assignees

• THE AFFILIATED HOSPITAL OF QINGDAO UNIVERSITY · CN
• Anhui University · CN

Inventors

• Teng Li · Beijing, CN
• Huanting Li · Qingdao, CN
• Xiaokun Hu · Irvine, US
• Yan Wang · Chamblee, US
• Dashan Jiang · Hefei, CN
• Congxiao Wang · Qingdao, CN
• Shifeng Liu · Hangzhou City, CN

Key dates

• Filing date: Mar 4, 2020
• Grant date: Nov 29, 2022
• Expiry date: Mar 4, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/10081
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A dosimetry assessment method for an organ at risk (OAR) in an esophageal radiotherapy plan includes: acquiring volumetric-modulated arc therapy (VMAT) plan data of a patient with esophageal cancer, and obtaining a distance-target histogram (DTH); subjecting a geometric feature vector of the DTH to dimension reduction to obtain a dimension-reduced geometric feature vector; establishing a deep belief network (DBN) model, and completing training the DBN model; non-linearly fitting a correlation between a dose feature vector and the dimension-reduced geometric feature vector to obtain a dose feature vector with a dimension being identical to a dimension of the dimension-reduced geometric feature vector; and reconstructing the dose feature vector through a decoding layer of an autoencoder structure to obtain a dose feature vector with a dimension being identical to a dimension of the geometric feature vector before the dimension reduction, and finally obtaining a dose-volume histogram (DVH) for predicting the OAR.