RSA Biomedical has added Sykehuset Innlandet in Oslo, Norway, to its customer list.
The health region has installed RSA's mdesk orthopedic planning and templating system at its hospitals in Lillehammer, Elverum-Hamar, and Gjøvik, according to RSA of Umeå, Sweden.
Related Reading
RSA nets Norwegian customer, January 8, 2009
Road to RSNA, Advanced Visualization, RSA Biomedical, November 6, 2008
RSA takes mdesk order, November 6, 2008
Road to RSNA, PACS Accessories, RSA Biomedical, November 4, 2008
RSA awarded mdesk contract, September 29, 2008
Copyright © 2009 AuntMinnie.com









![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)





