A whole-body MR-to-CT synthesis framework using attention gates, registration-aware training targets, and contrastive organ-semantic alignment improves synthetic CT quality and PET attenuation correction over CycleGAN baselines.
Mri-based attenuation correction for whole-body pet/mri: quantitative evaluation of segmentation-and atlas- based methods,
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Structure-Guided MR-to-CT Synthesis with Spatial and Semantic Alignments for Attenuation Correction of Whole-Body PET/MR Imaging
A whole-body MR-to-CT synthesis framework using attention gates, registration-aware training targets, and contrastive organ-semantic alignment improves synthetic CT quality and PET attenuation correction over CycleGAN baselines.