U.K. radiology products supplier Xograph Healthcare has installed two digital radiography (DR) rooms in the Basingstoke and North Hampshire Hospital.
Each room has a buckyStar DR system, featuring a CXDI-50C portable, single-tile direct digital detector from Canon Medical Systems of Irvine, CA. The detector can be used in both the table and erect wall stand, as well as for bedside and tabletop work, according to Xograph of Tetbury, Gloucestershire.
Related Reading
Xograph completes U.K. installations, July 9, 2008
Xograph to sell Mindray devices in U.K., September 18, 2007
Xograph signs Irish distributor, July 31, 2006
Xograph gets Canon sale in Sudan, July 14, 2006
Xograph notches Planmed deal, June 15, 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)
