There has been limited work in abdominal synthetic CT (sCT) generation. In this work, we propose to integrate dense blocks and a novel compound loss function ...
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6,21 Cycle consistent GAN (cycle-GAN) is an unsupervised network that has been widely used in medical image analysis, such as synthetic CT generation [23] [24] ...
The application of MRI significantly improves the accuracy and reliability of target delineation for many disease sites in radiotherapy due to its superior ...
The proposed algorithm has encouraging outcomes in generating sCT for the potential use in MR-only photon or proton radiotherapy treatment planning and a ...
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What is synthetic CT generation from MRI?
Is a CT scan or MRI better for liver lesion?
We developed and validated a novel learning-based approach to generate CT images from routine MRIs based on dense cycle GAN model to effectively capture the ...
Missing: Liver | Show results with:Liver
This work is the first deep-learning-based approach to generating abdominal sCT through dense-cycle-GAN. This method can successfully generate the small ...
Methods: We proposed to integrate dense block into cycle generative adversarial network (GAN) to efec-tively capture the relationship between the CT and MRI for ...
May 20, 2024 · U-net-generated synthetic ct images for magnetic resonance imaging-only prostate intensity-modulated radiation therapy treatment planning.
The purpose of this work is to validate the application of a deep learning-based method for abdominal synthetic CT (sCT) generation by image evaluation and ...