Paramed Medical Systems of Genoa, Italy, and International Electric (IECO) of Helsinki, Finland, have signed an agreement for IECO to supply Paramed with its gradient power amplifiers and related equipment for Paramed's new MRopen system.
IECO also will supply magnet power supplies, temperature control units, and through-feed filters.
Paramed's MRopen system uses a cryogen-free 0.5-tesla superconducting magnet in a U-shaped configuration to reduce claustrophobia by creating open space above a patient's head and body.
Related Reading
Road to RSNA, MRI, Paramed Medical Systems, October 31, 2008
Paramed wins FDA approval for cryogen-free MRI, August 12, 2008
Road to RSNA, MRI, Paramed Medical Systems, October 29, 2007
Italian firm turns MRI on its head with new magnet design, January 15, 2007
Paramed introduces MRopen, November 6, 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)
