About the Project

Project J2-3059

Description

This project develops computational tools for implementing time-constrained online adaptive radiotherapy (ART) in clinical settings. The work addresses gaps in cancer treatment by enabling same-day treatment plan adjustments based on anatomical changes observed in daily imaging.

The integrated workflow encompasses image registration algorithms, tumor and organ segmentation using deep learning, decision-support prediction models, dose calculation, and treatment plan generation and optimization.

OnlineART serves as the web platform for this pipeline — enabling medical professionals and researchers to upload neuroimaging scans, run AI-powered analysis, and retrieve structured clinical reports.

Partners

• University of Ljubljana, Faculty of Electrical Engineering
  Lead institution — development of imaging algorithms, deep learning models, and the OnlineART platform.
• Institute of Oncology Ljubljana
  Clinical partner — patient data, clinical validation, and integration into treatment workflows.
• CosyLab JSC, Control System Laboratory
  Industry partner — system integration and real-time control infrastructure.

For more details, visit the official project page at LIT.