An IMRIS ceiling-mounted diagnostic and intraoperative MRI system.
IMRIS
IMRIS has received clearance from the U.S. Food and Drug Administration (FDA) for its InVision 3T Recharge MRI system.
The ceiling-mounted diagnostic and intraoperative MRI system provides a path for IMRIS Operating Suites currently using Magnetom Verio scanners from Siemens Healthineers to upgrade to the company’s Magnetom Skyra Fit scanners. InVision 3T Recharge brings Siemens’ latest Skyra Fit Biomatrix technology to IMRIS Operating Suites, which extends the life of the initial investment and enhances the value of MRI at these clinical centers, the company said.
IMRIS custom designs intraoperative MRI systems specifically for imaging during neurosurgical procedures, according to the firm.
![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)