MR Solutions has introduced its second-generation MRI magnet technology to its 3- and 7-tesla, cryogen-free preclinical systems.
Features include variable field operation, higher intrinsic magnetic field homogeneity, larger fields-of-view elliptical in shape to better fit the subject, and automatic field ramping.
Installations of the second-generation technology include the National Institute for Health in Bethesda, Maryland, U.S.; the University of Manchester in the U.K.; Korea Advanced Institute of Science and Technology; and the International Iberian Nanotechnology Laboratory in Portugal.
MR Solutions also launched its new PreClinical Scan software for integration of the company's PET and SPECT technology.
The company provides PET/MRI or SPECT/MRI imaging either for independent acquisition, sequential acquisition, or simultaneous acquisition. Optical and CT imaging capabilities also are possible, the firm said.
![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)
