mlsanityData to 7 Oct 2026

Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN

arXiv 2501.02146 ↗First posted 4 Jan 2025cs.CV cs.AI q-bio.NCcited by 3

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Abstract (arXiv)

Cross-modality translation between MRI and PET imaging is challenging due to the distinct mechanisms underlying these modalities. Blood-based biomarkers (BBBMs) are revolutionizing Alzheimer's disease (AD) detection by identifying patients and quantifying brain amyloid levels. However, the potential of BBBMs to enhance PET image synthesis remains unexplored. In this paper, we performed a thorough study on the effect of incorporating BBBM into deep generative models. By evaluating three widely used cross-modality translation models, we found that BBBMs integration consistently enhances the generative quality across all models. By visual inspection of the generated results, we observed that PET images generated by CycleGAN exhibit the best visual fidelity. Based on these findings, we propose Plasma-CycleGAN, a novel generative model based on CycleGAN, to synthesize PET images from MRI using BBBMs as conditions. This is the first approach to integrate BBBMs in conditional cross-modality translation between MRI and PET.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 6 of its 17 references that are in the map. First posted on arXiv 4 Jan 2025.

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6 of 17 references.

References · 6

  1. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  2. 2020Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesiscited by 38
  3. 2021MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Diseasecited by 16
  4. 2020GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesiscited by 15
  5. 2024PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Modelscited by 10
  6. 2020FREA-Unet: Frequency-aware U-net for Modality Transfercited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

  1. 2025TauGenNet: Plasma-Driven Tau PET Image Synthesis via Text-Guided 3D Diffusion Modelscited by 1
  2. 2026Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology Awarenesscited by 1
  3. 2026When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRIcited by 0