A new international conference for clinical imaging and image-guided therapy, called R3, will be held in Constance, Germany on Lake Constance from 22 to 24 September 2022, Prof. Dr. Fabian Bamberg has revealed.
Prof. Dr. Fabian Bamberg. Courtesy of University Medical Center Freiburg.The R3 congress is being organized by radiologists from Switzerland, Austria, and Germany.
Bamberg, who is medical director of the Clinic for Diagnostic and Interventional Radiology at the University Medical Center Freiburg, is one of the main people behind the event. In an interview posted on 17 May by the German Radiological Society (DRG), he revealed extensive details about the initiative and the central themes of the congress.
To read the full interview with Bamberg, go to the DRG website.
![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&dpr=2&fit=crop&h=167&q=70&w=250)