The Institute of Diagnostic and Interventional Radiology in Frankfurt, Germany, is teaming up with the Institute of Physical and Theoretical Chemistry to test a new and hopefully safer alternative to conventional contrast agents, according to a report by the German Radiological Society (DRG).
The group has explored the use of water molecules as inert contrast agents created using a process called dynamic nuclear polarization. It occurs when unpaired electrons of radicals are resonantly excited by microwaves and then transfer their polarization of the nuclear spinning of the molecules.
The innovative technology can replace gadolinium-containing contrast agents, which carry a risk of allergic reactions and nephrogenic systemic fibrosis (NSF), DRG said.
Development of the complex technique has been led by Dr. Thomas Prisner, a leader in the study of electron paramagnetic resonance. Under the direction of Dr. Vogl, the radiologic institute will focus on the potential for organ blood flow and perfusion imaging.
First on the agenda, however, is optimization of dynamic nuclear polarization in animal tests under various clinical scenarios. This effort will be led by Prisner, Dr. Stephen Zangos, Vogl, and Dr. Sebastian Fischer in a two-year effort costing 300,000 euros funded by the German Research Foundation.










![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)






