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arXiv · 2608.21481

Multimodal pseudo-CT synthesis for PET attenuation correction using separate modality encoding and topogram conditioning

Rory Bell·Artemis Bouzaki·Jiaming Cao·Jasmine Morrison·Chelsea Sargeant
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Abstract

We participated in the BIC-MAC Challenge with a multimodal 3D patch-based U-Net for pseudo-CT generation from NAC-PET, MRI, and 2D topograms. By using separate PET and MR encoders, multi-scale feature fusion, and FiLM-based topogram conditioning at the bottleneck, we obtain a model that integrates complementary cross-modal information while reducing reliance on precise voxel-wise correspondence between modalities. Our final submission can be found: https://github.com/rrr-uom-projects/BIC-MAC-MICCAI2026

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Rory Bell, Artemis Bouzaki, Jiaming Cao, Jasmine Morrison, Chelsea Sargeant. 2026-08-21. Multimodal pseudo-CT synthesis for PET attenuation correction using separate modality encoding and topogram conditioning. https://arxiv.org/abs/2608.21481

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