The Institute of Medical Physis and Relation within THM is dedicated to particle therapy
The Technische Hochschule Mittelhessen (THM) is a University of Applied Sciences and specialises in programs oriented towards the natural sciences, engineering, and technology. Within THM, the Institute of Medical Physics and Radiation Protection (IMPS) focuses on applications and research in radiation and particle therapy, imaging, and radiation protection. The Particle Therapy Working Group within IMPS has extensive expertise in Monte Carlo simulations on both macroscopic and microscopic scales and, through a strong collaboration with the University Hospital Giessen-Marburg and the Marburg Ion-Beam Therapy Center, conducts benchmark experiments to refine and validate Monte Carlo models.
Within the BoneOscopy consortium, THM will oversee the installation of a prototype detector system at the Marburg Ion-Beam Therapy Center where the prototype will undergo commissioning and validation against predictive modeling. Further, Monte Carlo simulations will be conducted to analyse the expected spectrum of prompt gamma photons emitted when #bonetissue with varying #calciumconcentrations is irradiated with particles. These simulations will serve as the basis for training a neural network designed to reconstruct the applied dose and determine the calcium concentration in the bone tissue from the measured prompt gamma spectrum.
Dr. Baumann (THM) is an expert in Monte Carlo simulations on macroscopic and microscopic scales, dosimetry, particle therapy and ultra-high dose rates. His working group Prof. Klemens Zink and Robin Erdmann has extensive expertise using different Monte Carlo codes for various applications and maintains a 900-core strong computing cluster enabling fast and efficient Monte Carlo simulations.
THM also plans to hire a PhD student with a background in medical physics to perform the Monte Carlo simulations needed to prepare and accompany the implementation of the BoneOscopy solutions as well as the simulations to create training data for the neural network.
The BoneOscopy project has received funding from the European Union’s Horizon Europe research and innovation programme under the Grant Agreement N 101185141, and for the Swiss partner from the Swiss State Secretariat for Education, Research and Innovation (SERI). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Innovation Council. Neither the European Union nor the granting authority can be held responsible for them.
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