Synthesis of magnetic resonance images from computed tomography data using convolutional neural network with contextual loss function.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY（2022）
Abstract
The results demonstrated that DRUNet-101 with contextual loss function provided better high-frequency information in synthetic MR images compared with the other two functions. The proposed DRUNet model has a distinct advantage over previous models in terms of PSNR, SSIM, and Tenengrad score. Overall, DRUNet-101 with contextual loss is recommended for synthesizing MR images from CT scans.
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Key words
ResNet,Synthesis of magnetic resonance imaging (synthesis of MRI),U-Net,contextual loss,radiotherapy treatment planning system (radiotherapy TPS)
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