CT image generation from ultrashort echo time MRI for dosimetric assessment in lung cancer radiotherapy

Background and purpose: To facilitate magnetic resonance imaging (MRI)-only radiotherapy workflows and overcome the lack of electron density information in MRI for accurate radiotherapy dose calculation, we proposed a cycle-consistent generative adversarial network-based framework, Fast Fourier Transform Spatial-Channel Net (FFTSC-Net). This study aimed to synthesize high-quality synthetic computed tomography (sCT) from lung ultrashort echo time-MRI (UTE-MRI) and assess its potential clinical dosimetric viability.