Breast imaging developer Dexela of London has entered into an agreement with NovaRad of American Fork, UT, to supply WorkstationOne software for NovaRad's mammography image viewer device, the company announced.
WorkstationOne is developed by Dexela's partner Three Palm Software of Los Gatos, CA, and includes "click once" screening workflow with viewing methodology and PACS integration features. It supports multimodality viewing and CAD structured reports. Dexela plans to launch a version that supports digital breast tomosynthesis later this year.
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NovaRad takes RIS/PACS order, July 15, 2009
NovaRad adds Idaho orders, June 24, 2009
NovaRad adds Kansas order, June 10, 2009
Dexela, Three Palm ink distribution agreement, January 22, 2009
Dexela teams with IMS on breast tomosynthesis, December 3, 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)
