CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation

Volume: 64, Issue: 22, Pages: 225004 - 225004
Published: Nov 15, 2019
Abstract
In presence of inter-fractional anatomical changes, clinical benefits are anticipated from image-guided adaptive radiotherapy. Nowadays, cone-beam CT (CBCT) imaging is mostly utilized during pre-treatment imaging for position verification. Due to various artifacts, image quality is typically not sufficient for photon or proton dose calculation, thus demanding accurate CBCT correction, as potentially provided by deep learning techniques. This...
Paper Details
Title
CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation
Published Date
Nov 15, 2019
Volume
64
Issue
22
Pages
225004 - 225004
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