Imaging software developer Biotronics3D and Merge Healthcare have teamed to release three Biotronics3D applications for downloading from Merge's eFilm Web site.
The three modules are Diagnostic 3D, Vessel Review, and Colon Review, according to Biotronics3D of London and Merge of Milwaukee.
Related Reading
Merge to buy MRI CAD software firm Confirma, August 7, 2009
Merge opens up software for development, August 5, 2009
Merge inks Allscripts deal, August 3, 2009
Biotronics3D launches MRI software, July 23, 2009
Road to RSNA, Advanced Visualization, Biotronics3D, November 6, 2008
Cedara, Biotronics3D team up, May 30, 2007
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&dpr=2&fit=crop&h=167&q=70&w=250)
