Polarean Imaging, a commercial-stage medical device developer for lung MRI, has closed a $12.6 million financing round through the Alternative Investment Market (AIM) of the London Stock Exchange.
The funding was co-led by Nukem Isotopes GmbH and Bracco S.p.A., in addition to support from other existing and new investors.
Polarean intends to use the funds to accelerate progress across the following growth initiatives:
- Build and expand Polarean’s commercial team and infrastructure, targeting top-tier academic medical centers in pulmonary medicine and radiology across the U.S.
- Continue to broaden reimbursement coverage.
- Lower the minimal indicated age for Xenoview from 12- to 6-years-old, and plan for an adult clinical trial to enter into broader clinical applications by expanding indications to include alveolar gas exchange and pulmonary-vascular hemodynamics.
- Fund continued development of enhanced versions of its Xenoview polarizer and additional imaging software products.
- Support efforts to strengthen current partnerships and pursue additional collaborations for the adoption of Polarean’s pulmonary imaging platform.
Polarean said it recently received its next de novo order of a Xenoview polarizer from the University of Alabama at Birmingham Hospital. Polarean will work closely with the hospital as well as other healthcare institutions with clinical-grade polarizers to help develop a Xenon MRI program to advance pulmonary imaging.















![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&fit=crop&h=112&q=70&w=112)
