Development & Evaluation of Automated Tumour Monitoring by Image Registration Based on 3D (PET/CT) Images
Development & Evaluation of Automated Tumour Monitoring by Image Registration Based on 3D (PET/CT) Images
Tumor tracking in PET/CT is essential for monitoring cancer progression and guiding treatment strategies. Traditionally, nuclear physicians manually track tumors, focusing on the five largest ones (PERCIST criteria), which is both time-consuming and imprecise. Automated tumor tracking will allow real-time and precise matching of the numerous metastatic lesions across scans, enhancing tumor change monitoring. However, research is constrained by the limited availability of labelled medical tracking datasets. The proposed tumor tracking method by image registration, though just as a baseline, performs well on the annotated dataset, composed of simple cases.
Rosana El Jurdi1, Mohamad Ammar Said, Duc Thang Hoang, Guillaume Lamazou, Elsa Schalck, Olivier Humbert, Development and evaluation of automated tumour monitoring by image registration based on 3D Positron Emission Tomography/Computed Tomography (PET/CT) images. In Proc. of the Troisième édition du Colloque Français d’Intelligence Artificielle en Imagerie Biomédicale, Mars 2025.
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