The 2nd UPLIFT School for “Artificial Intelligence in Radiotherapy”

Session

Session C

6 Nov 2026, 16:00

Congressi Stefano Franscini (CSF)

85. Synthesizing Upright Head and Neck Anatomies from Supine CT Using MRI Guided Deformable Registration

Daniel Richter (ETH Zurich)

06/11/2026, 16:00

oral/poster

Objective: Upright radiotherapy requires CT images representative of the treatment position. To our knowledge, no paired upright and supine head and neck CT dataset is currently publicly available, limiting research into posture-specific treatment planning. Paired upright and supine low-field MRI can characterize postural changes without additional upright CT acquisitions. We developed a...

84. From supine imaging to upright anatomy: Quantifying gravity-induced pelvic deformation towards patient-specific biomechanical simulation

Lola Vegeas (Therapanacea, Gustave Roussy)

06/11/2026, 16:30

oral/poster

Objective

Upright radiotherapy may offer anatomical and infrastructural advantages, but its implementation requires treatment-planning images in the upright posture. Upright MRI remains rarely available, and gravity-induced displacement and deformation of pelvic targets and organs at risk are poorly characterised. This study quantifies supine-to-upright pelvic deformation and evaluates...

79. SPLASH: A Semi-automatic Pipeline for Lung motion Analysis using Single-frame Human-Input

Timothy Lo (UCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London)

06/11/2026, 17:00

oral/poster

Purpose: Interest in upright, gantry-less radiotherapy has grown, partly for the cost and accessibility benefits of rotating the patient rather than the treatment beam. However, data on anatomical and physiological differences between upright and supine posture remains scarce. As thoracic RT depends heavily on motion management, we investigated posture-induced differences in respiratory...

68. Development of a robust validation workflow for AI-based Deformable Image Registration software

Panagiotis Alafogiannis (Dept. of Dosimetry and Appl. Of Ion. Radiation, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical Univ. in Prague, Czech Republic & Dept. of Oncology, Univ. Hospital and Faculty of Medicine, Ostrava, Czech Republic)

06/11/2026, 17:30

1

oral/poster

Objective:
Management of respiratory motion, online adaptive radiotherapy, and reirradiation require accurate and reliable Deformable Image Registrations (DIRs) to allow fast and precise structure mapping and dose accumulation. Artificial Intelligence (AI)-based DIR algorithms offer promising improvements in DIR performance. However, currently used DIR validation metrics are not...