GE Healthcare has purchased German breast cancer IT developer Image Diagnost International.
Image Diagnost of Munich develops integrated software packages for mammography workflow and image processing, according to GE of Chalfont St. Giles, U.K. The company was founded in 2005 and has completed more than 150 installations of its software suites.
The company has filed for U.S. Food and Drug Administration clearance for its MammoWorkstation package. Terms of the deal were not disclosed.
Related Reading
GE inks New York pact, February 11, 2008
GE to acquire filtration products supplier, February 5, 2008
GE partners with German firm on cancer therapeutics, January 31, 2008
GE Healthcare profits decline in 2007, January 18, 2008
GE creates IT education program, January 8, 2008
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![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)




