French contrast developer Guerbet has signed an agreement to acquire laboratory-stage technology developed by Occlugel for embolization microspheres.
Under the terms of the agreement, Guerbet already has made an initial payment of 3 million euros, with additional payments dependent on completion of the technology transfer and regulatory approvals.
Occlugel specializes in the R&D of microspheres used in embolization. Its technology will be used for microspheres in the vascular embolization of benign tumors, such as uterine fibroma and prostate adenoma, and the vascular chemoembolization of malignant tumors, including some liver, lung, and kidney cancers.
The technology will add to Guerbet's interventional imaging portfolio. The company also recently acquired Accurate Medical Therapeutics, a developer of microcatheters for interventional radiology.
![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)
