InkSpace Imaging Snuggle pediatric body array coil.
Royal Philips
Philips is introducing InkSpace Imaging's Snuggle pediatric body array coil for Philips 3-tesla MRI systems.
Designed for pediatric patients, the Snuggle coil has been optimized and validated for use with Philips 3-tesla MRI systems. Its light, blanket-like design and soft, flexible structure gently wrap around the patient.
The Snuggle coil features a high-density array and flexible design that aim to produce sharp, high-resolution images and more efficient exams across a range of pediatric anatomies.
The company recently secured 510(k) clearance from the U.S. Food and Drug Administration for the coil. The coil is now available in the U.S., with rollout to additional regions planned in the future.
![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)