CLARITY
CLARITY - CineMR-guided ML-driven breaAthing models for adaptive RadIoTherapY
by Richard Häcker
Dose escalation in breathing anatomies of ultra-central lung cancer lesions is based on cutting-edge LINAC-integrated imaging technology using 2D cineMR time series combined with high-end adaptation strategies. Yet, the 4D motion trajectories still cannot be visualized and processed online with available technologies.
In this Helmholtz Imaging-funded project our team investigates biomechanical and ML-based 4D motion modelling approaches for their ability and reliability to predict critical deformation events of organ at risks from 2D cineMR.
Development Team: Richard Häcker (DKFZ), Kristina Giske (DKFZ), Daniel Lang (HMGU), Julia Schnabel (HMGU, TUM), Martin Niklas (DKFZ)
Consultants: Oliver Jäkel (DKFZ), Sebastian Klüter (UKHD), Sebastian Regnery (UKHD), Juliane Hörner-Rieber (UKHD)