Agfa HealthCare of Mortsel, Belgium, won more than 150 agreements for its healthcare IT solutions during the first eight months of 2010, the company said.
Systems sold include Agfa's PACS product, Impax, and its associated radiology information system and nuclear information system, as well as Impax Cardiovascular, Impax Data Center, and Orbis, Agfa's hospital and clinical information system.
In North America, nearly 40 new agreements were signed with sites such as Collingwood General and Marine (G&M) Hospital in Ontario, Canada, and the Cleveland Clinic Foundation. In Asia-Pacific, Agfa won nine new agreements for the installation of Impax in sites such as the National Taiwan University Hospital, Queen Elizabeth Hospital, Kowloon Hospital, United Christian Hospital, and Tseung Kwan O Hospital, all in Hong Kong.
In Europe, the company inked contracts with Schön Klinik Hamburg Eilbek in Germany, Centre Hospitalier Jean Monnet in France, and the Ministry of Defense and the Hospital of St. John and St. Elizabeth in the U.K., among others.
Related Reading
Agfa HealthCare revenues flat in Q2, August 27, 2010
Agfa, TomTec ink echo software deal, August 26, 2010
Agfa inks Canadian Impax deal, July 20, 2010
Agfa launches DX-D DR units in U.S., July 15, 2010
Agfa nets HealthTrust contract, June 3, 2010
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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)
