GE Healthcare and Konica Minolta Medical Imaging have signed a global distribution agreement for Konica Minolta's AeroDR cassette-size digital radiography (DR) imaging retrofit.
The two partners have now agreed to expand their strategic alliance, with GE distributing AeroDR in the U.S. and globally (excluding Japan), using GE sales channels.
The AeroDR is a lightweight, compact wireless cassette DR device, and is already in use in a range of medical workplaces. The agreement will enable healthcare facilities that have x-ray analog devices to implement digital imaging upgrades using their current imaging equipment, the companies said. In addition, three cassette sizes are available: 10 x 12 inches, 14 x 17 inches, and 17 x 17 inches.
Sales by GE are underway using a global sales network and will progressively span more than 50 countries.
![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)
