Eyas Medical Imaging has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for the company's Ascent3T neonatal MRI system.
The system includes a whole-body magnetic resonance scanner designed for neonate and infant anatomy, including the head, body, and extremities.
The Ascent3T uses a 3-tesla magnet and addresses the technical limitations of using an adult-size MRI system to image babies. The system is also virtually helium-free and does not require a quench pipe or outside venting.
Ascent3T neonatal MRI systemEyas Medical Imaging
Features include a detachable patient table that can serve as a patient transport device, as well as advanced electronics, operating software, and pulse sequences from Philips Medical Systems Nederland B.V.
The design of the Ascent3T was based on learning from over 1,700 infant MRI scans on Cincinnati Children’s prototype systems. In 2023, Eyas installed a research-use-only Ascent3T system within Cincinnati Children's neonatal intensive care unit (NICU).
The company said it is scaling up operations and expects to bring the system to market in the U.S. later in 2026. The Ascent3T is not yet commercially available in other countries.
![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)
