Ultrasound vendor Ultrasonix Medical of Richmond, British Columbia, has opened an office in the U.K.
The office is located in High Wycombe, 40 minutes west of London, and will provide logistical operations, technical support, and training and scanning facilities, as well as a central location for the company's Europe-based clinical specialists and sales and marketing team.
The company said it is opening the office because of its rapid growth in the Europe, Middle East, and Africa (EMEA) region.
Related Reading
Ultrasonix receives CE Mark for SonixTouch, February 6, 2009
Ultrasonix debuts new ultrasound products, November 30, 2008
Ultrasonix unveils SonixTouch EMed, November 19, 2008
Ultrasonix appoints new VP of sales, November 14, 2008
Ultrasonix unveils new SonixTouch, November 6, 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)
