Swedish radiation therapy firm Elekta has received an order from the Max Planck Institute for Human Cognitive and Brain Science (MPI CBS) in Leipzig, Germany.
The Stockholm-based vendor will be replacing the institution's existing magnetoencephalography (MEG) equipment with its Neuromag MEG system.
In other Elekta news, the company has also won an order from St. Luke's Hospital in Dublin, Ireland. The project, valued at over 10 million euros, includes the installation of four Synergy medical linear accelerators, Elekta said.
By AuntMinnie.com staff writers
October 11, 2006
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Elekta adds Cooper University to Perfexion client roster, September 14, 2006
Elekta signs U. of Virginia, September 6, 2006
Elekta inks US Oncology deal, August 31, 2006
Elekta acquires majority in BMEI, August 24, 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)
