2026-10-09T00:55:21Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34039203 2026-10-01T05:30:53Z category_450 portal_316 item_type_3 month_year_10_2026

Data Sheet 1_UniPET: a unified approach for whole-body CT to PET translation.pdf Francesco Di Feola (25152639) Valerio Guarrasi (9683318) Mikael Johansson (32936) Paolo Soda (4419736) Knowledge Representation and Machine Learning curriculum learning generative adversarial networks image-to-image translation medical image synthesis medical imaging <p>Positron emission tomography (PET) provides critical metabolic information for oncological imaging, yet its use is constrained by radiation exposure, cost, and limited availability. Synthesizing PET-like images from computed tomography (CT) has been proposed as a way to approximate metabolic information; however, existing approaches either fail to capture region-specific variability or rely on multiple organ-specific models that do not scale to whole-body imaging. In this work, we introduce UniPET, a unified approach for whole-body CT-to-PET translation based on curriculum learning. By progressively incorporating anatomical regions of increasing complexity, UniPET enables a single network to learn coherent morpho-metabolic relationships across different regions. We evaluate UniPET on a public dataset of 900 patients and an external cohort of 579 patients. The model achieves image quality and metabolic consistency comparable to region-specific approaches, while improving over conventional whole-body models and maintaining stable performance under distribution shifts. By capturing region-specific variability within a single model, UniPET provides a promising approach for augmenting CT-based workflows with synthetic metabolic information, with potential applications in screening triage, in low-resource environments where PET is unavailable, and as an additional input for multimodal analysis pipelines. The code is available at: https://github.com/arco-group/UniPET.</p> 2026-10-01T05:30:53Z Dataset Dataset 10.3389/frai.2026.1919564.s001 https://figshare.com/articles/dataset/Data_Sheet_1_UniPET_a_unified_approach_for_whole-body_CT_to_PET_translation_pdf/34039203 CC BY 4.0