The American Board of Magnetic Resonance Safety (ABMRS) has created the role of "magnetic resonance safety tech" (MRST) and companion certification exam to align with its standardized approach for remote and in-person MR scanning.
"Standardization and certification are powerful tools in helping ensure the safety of our patients and healthcare practitioners in magnetic resonance environments," ABMRS said in an announcement.
The organization acknowledged substantial progress in the field of MRI in general and remote MR scanning in particular. The initiative aims to ensure that MR safe practices.
An MRST is intended to help the magnetic resonance medical director (MRMD), the MR safety officer (MRSO), and MR safety expert (MRSE) oversee safe practices, especially in remote MR scanning environments, according to ABMRS.
This new standardized structure will provide an on-site assistant and "eyes and ears" for the remote MR scanning technologist, while simultaneously enabling the site to maintain full safety protocols, site access safety oversight, and emergent response capabilities, the organization said.
A free 90-minute webinar, "Certification and Standardization in Remote MR Scanning," will be held December 11.
![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)