Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN

• URL: http://arxiv.org/abs/2510.23140v1
• Date: Mon, 27 Oct 2025 09:17:02 GMT
• Title: Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
• Authors: Christian Salomonsen, Samuel Kuttner, Michael Kampffmeyer, Robert Jenssen, Kristoffer Wickstrøm, Jong Chul Ye, Elisabeth Wetzer,
• Abstract summary: We adopt a physics-informed CycleGAN showing promise in DCE-MRI quantification to dynamic PET quantification.<n>Our experiments demonstrate sound AIF predictions and parameter maps closely resembling the reference.
• Score: 55.27156760515792
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Tracer kinetic modeling serves a vital role in diagnosis, treatment planning, tracer development and oncology, but burdens practitioners with complex and invasive arterial input function estimation (AIF). We adopt a physics-informed CycleGAN showing promise in DCE-MRI quantification to dynamic PET quantification. Our experiments demonstrate sound AIF predictions and parameter maps closely resembling the reference.

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