Agfa HealthCare has been selected by Polish healthcare provider Enel-Med to install its Impax 6 PACS to serve the needs of its seven facilities and more than 360 medical institution customers across Poland.
The agreement also includes the installation of eight of Agfa computed radiography (CR) systems and seven Drystar 5302 imagers.
The Mortsel, Belgium-based company also will implement its Impax 6 PACS at four sites for the Bulgarian Ministry of Health. The contract includes the installation of two CR 85-X and four CR 35-X systems at the Clinical Center Alexandrowska in Sofia and hospitals in Sveta Anna, Blagoevgrad, and Stara Zagora.
In addition, Agfa has delivered the first phase of products at several sites for the Basque Health Service in Spain. Agfa HealthCare was selected in late 2007 to install its Impax 6 PACS, a centralized RIS, 59 CR devices, and 52 diagnostic imaging printers in five hospitals and 23 primary care centers in the Basque Country.
Related Reading
Agfa installs Impax HeartStation, February 17, 2009
Agfa nets Ochsner contract, January 29, 2009
Agfa receives Canadian grant, January 20, 2009
Agfa signs Antwerp University Hospital, December 10, 2008
Agfa teams with Median, gets U.K. install, December 2, 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&dpr=2&fit=crop&h=167&q=70&w=250)
