An important feature of the brachytherapy procedure proposed within the FOCUS project is the real-time dynamic dosimetry re-planning capability through a feedback loop linking prostate perception and the advanced treatment planning system. This requires the capability to detect seeds within the prostate. The accurate localization and orientation estimation of brachytherapy seeds, including the ability to separate the cluster of seeds in the images, is a major challenge and active research field. Within FOCUS project, a thesis was funded to adresse the challenge of seeds and needles detection.

Publications:

Younes H, Voros S, Troccaz J (2018). Automatic needle localization in 3D ultrasound images for brachytherapy IEEE International Symposium on Biomedical Imaging

Guillaume Lapouge, Hatem Younes, Philippe Poignet, Sandrine Voros, Jocelyne Troccaz. Needle Segmentation in 3D Ultrasound Volumes Based on Machine Learning for Needle Steering Hamlyn Symposium on Medical Robotics, Jun 2019, Londres, United Kingdom.

Hatem Younes, Détection d'aiguilles et de grains dans les images ultrasonores pour la curiethérapie dynamique, Thèse de l'Université Grenoble Alpes, 2020