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

Fuente: arXiv
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Autores principales: Salomonsen, Christian, Kuttner, Samuel, Kampffmeyer, Michael, Jenssen, Robert, Wickstrøm, Kristoffer, Ye, Jong Chul, Wetzer, Elisabeth
Formato: Preprint
Publicado: 2025
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author Salomonsen, Christian
Kuttner, Samuel
Kampffmeyer, Michael
Jenssen, Robert
Wickstrøm, Kristoffer
Ye, Jong Chul
Wetzer, Elisabeth
author_facet Salomonsen, Christian
Kuttner, Samuel
Kampffmeyer, Michael
Jenssen, Robert
Wickstrøm, Kristoffer
Ye, Jong Chul
Wetzer, Elisabeth
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2510_23140
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
Salomonsen, Christian
Kuttner, Samuel
Kampffmeyer, Michael
Jenssen, Robert
Wickstrøm, Kristoffer
Ye, Jong Chul
Wetzer, Elisabeth
Computer Vision and Pattern Recognition
Other Quantitative Biology
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.
title Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
topic Computer Vision and Pattern Recognition
Other Quantitative Biology
url https://arxiv.org/abs/2510.23140