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Application of Virtual Noncontrast CT Generation Technology From Intravenous Enhanced CT Based on Deep Learning in Proton Radiotherapy

2020-09-08

Abstract excerpt

<h4>Objective: </h4> The aim of this study is to generate virtual noncontrast (VNC) computed tomography (CT) from intravenous enhanced CT by using Unet convolutional neural network (CNN). The differences among enhanced, VNC, and noncontrast CT in proton dose calculation were compared. <h4>Methods: </h4>: A total of 30 groups of CT images of patients who received enhanced and noncontrast CT were selected. Enhanced...

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Literature Corpus work
c957b4eb-1366-5c0a-b8f8-3184488458a4
DOI
10.21203/rs.3.rs-71398/v1
Open publication

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Application of Virtual Noncontrast CT Generation Technology From Intravenous Enhanced CT Based on Deep Learning in Proton RadiotherapyDOI 10.21203/rs.3.rs-71398/v1
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