Research

The Challenge

Cancer and neurodegenerative diseases represent some of the most significant challenges facing modern society. With the WHO predicting a steady rise in these conditions, the need for advanced diagnostic and therapeutic interventions has never been more urgent.

The ADMIT Mission

To meet this challenge, the LOEWE priority project ADMIT is at the forefront of medical physics innovation. Our mission is to bridge the gap between theoretical research and clinical application by combining cutting-edge imaging and computer-assisted techniques with advanced therapeutic strategies. By doing so, we aim to enable earlier diagnosis and more successful treatment outcomes for cancer and neurodegenerative disorders.

Our Approach

At the core of ADMIT is the development of novel medical physics methodologies designed to enhance image-guided therapy and unlock new research avenues. We integrate scientifically rigorous approaches into the synergistic fields of data processing, imaging, and clinical therapy—specifically within radiology, oncology, and neurology.

Collaborative Excellence

ADMIT is a powerhouse of interdisciplinary expertise, bringing together researchers from the THM, UMR, and JLU universities. Our strength is amplified through strategic clinical and industrial partnerships, as well as long-standing international collaborations with prestigious institutions including Harvard University, Yale University, and the University of Pennsylvania.

Digital Flyer

Project Area A | Range Modulator and Neutrons in Particle Therapy with Protons

Pushing the boundaries of FLASH irradiation: We are investigating neutron exposure to ensure the next generation of particle therapy is as safe as it is effective.

Project Area D | Monte Carlo Simulations to Describe the Radiation Effect of Carbon Ions and Protons at the Cellular Level

Decoding the impact of radiation: Using advanced Monte Carlo simulations to model biological effects at the cellular level for more precise cancer treatments.

Project Area M | Adaptive Radiotherapy: Deep Learning for the Analysis of Daily Imaging

Smart radiotherapy for personalized care: Leveraging Artificial Intelligence to adapt radiation doses in real-time to a patient's changing anatomy.

Project Area I | Spectral Computed Tomography and Low-Dose Image Reconstruction Techniques

Clearer images, lower dose: Revolutionising CT imaging through spectral technology to improve diagnostics while significantly reducing radiation exposure.

Project Area T | MR Imaging-Assisted Deep Brain Stimulation Therapy

Bridging the gap between MRI and Deep Brain Stimulation: Developing innovative hardware to make advanced neuroimaging safe and accessible for DBS patients.