Italian-German healthcare software provider NoemaLife has acquired the LifeWeb PACS and RIS business of medical imaging device and software developer Ferrania Imaging Technologies.
The LifeWeb division has become a wholly owned subsidiary of NoemaLife. The deal includes the RIS, PACS, and service division of Ferrania's LifeImaging operation, according to NoemaLife of Bologna, Italy. NoemaLife said it will be integrating Ferrania's offerings, particularly its RIS, with its own existing products.
The deal also includes the company's Ferrania U.K. business in Bracknell.
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Ferrania names Lattimer to U.K. post, December 5, 2006
Road to RSNA, Ferrania Imaging Technologies, November 7, 2006
Road to RSNA, Ferrania Imaging Technologies, October 31, 2006
First customer signs for new Ferrania software, September 8, 2006
Ferrania to unveil LifeWeb RIS 2.4, notches French install, April 13, 2006
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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&dpr=2&fit=crop&h=167&q=70&w=250)
