The American College of Radiology (ACR) has launched a cardiac MRI accreditation program that evaluates the qualifications of personnel, quality control programs, MRI safety policies, and image quality specific to cardiac MRI.
The ACR accreditation in cardiac MRI requires that physicians supervising and interpreting the exams meet stringent education and training standards, imaging equipment is surveyed regularly by qualified medical physicists to ensure that it is functioning properly, and technologists administering the tests are certified by the American Registry of Radiologic Technologists (ARRT), according to the Reston, VA-based organization.
By AuntMinnie.com staff writers
April 4, 2007
Related Reading
ACRIN to launch new PET trial, April 3, 2007
ACR launches CRO business, March 15, 2007
ACR releases new MR safety guidelines, March 1, 2007
ACR launches international volunteer services portal, November 20, 2006
NEMA, ACR to lead ethics talk at RSNA, November 2, 2006
Copyright © 2007 AuntMinnie.com
![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)