Radiation oncology firm Elekta of Stockholm has signed a contract to deliver its Elekta Neuromag magnetoencephalography (MEG) technology to NeuroSpin of Saclay, France.
The contract is part of a collaboration between Elekta and French state-owned research entities Le Commissariat à l'Énergie Atomique (CEA) and L'Institut National de la Santé et de la Recherche Médicale (INSERM).
The MEG system will be installed in the second quarter of 2008 at CEA's new NeuroSpin facility. NeuroSpin is slated to become Europe's largest site for brain imaging studies, hosting as many as 150 research scientists and engineers from CEA and INSERM.
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Elekta to buy CMS, February 19, 2008
Elekta lands Nebraska MEG installation, February 11, 2008
Elekta repurchases own shares, January 24, 2008
Elekta VMAT in use in Europe, January 18, 2008
Elekta moves to acquire planning firm CMS, January 8, 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)
