Image display firm Barco of Kortrijk, Belgium, has released an upgraded version of its Coronis 5MP Mammo mammography display system.
Enhancements include the integration of a 12-bit DICOM lookup table, which produces 4,096 simultaneous shades of gray to provide a greater level of diagnostic capability for subtle details in digital mammography images.
The display also features per pixel uniformity (PPU) technology to measure and adjust the luminance output of each of 5 million individual pixels on screen, eliminating distracting screen noise and improving the display's image uniformity from center to corner.
The upgraded Coronis 5MP Mammo has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) and is available for commercial distribution worldwide.
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Barco gets order for 24 displays, June 5, 2009
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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)
