Marconi Medical Systems has received Food and Drug Administration 510(k) clearance for Infinion, a 1.5-tesla MRI scanner. Infinion features a 1.4 m-long whole-body magnet, which Marconi claims is the shortest magnet available.
Infinion 1.5T features a removable patient couch combined with a built-in phased-array spine coil, according to Marconi. It supports all traditional MR imaging capabilities, including neuro and orthopedic applications. Infinion can also be customized to meet advanced clinical applications such as MR cardiology, through use of the vendor’s Via application suite technology. Infinion can also be employed in ER procedures involving trauma patients, Marconi said.
The first Infinion 1.5T beta installation will take place at the end of February, with general product release scheduled for June.
In other Marconi news, the Cleveland-based firm has signed separate agreements with Cancer Care Ontario and the Romanian government for the sale of nine Acqsim CT scanners. Cancer Care Ontario will buy at least five systems over the next five years, while the Romanian government approved the purchase of four scanners for three oncology centers.
By AuntMinnie.com staff writersFebruary 19, 2001
Related Reading
Marconi adds to PACS line, February 14, 2001
Marconi sells three multislice CT scanners in Ireland, February 8, 2001
Copyright © 2001 AuntMinnie.com
![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.auntminnie.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)