Generating synthetic CTs from magnetic resonance images using generative adversarial networks
Medical Physics2018Vol. 45(8), pp. 3627–3636
Citations Over TimeTop 1% of 2018 papers
Abstract
We developed and validated a GAN model using a single T1-weighted MR image as the input that generates robust, high quality synCTs in seconds. Our method offers strong potential for supporting near real-time MR-only treatment planning in the brain.
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