WASHINGTON (Reuters), Feb 20 - Swiss researchers who swapped out some of the parts of a magnetic resonance imaging scanner said on Wednesday they not only made it more efficient, but also less claustrophobic.
Anyone who has had an MRI knows the tight feeling of the tube and the thudding sound of the magnet can create a unique and often disturbing experience. Each scan can cost thousands of dollars.
One reason the MRI tube is so narrow is that the radiofrequency, or RF, coils that produce the magnetic waves for the scan must be very close to the person being scanned.
David Brunner and Klaas Pruessmann of the University of Zurich came up with an alternative, using an antenna and "traveling" radio waves that could be up to 10 feet from the patient.
Writing in the journal Nature they said they used a special conductive lining inside the MRI tube to focus the waves.
It not only leaves more room inside the tube, they said, but provides more uniform coverage over a larger sample.
"This extra space is extremely valuable because the cost of the large, superconducting magnets needed for MRI increases rapidly with size," Paul Glover and Richard Bowtell of the University of Nottingham in England wrote in a commentary.
"Removal of the RF coil thus opens up the possibility of redesigning the scanner's interior to make it more comfortable for patients and/or to reduce cost."
Last Updated: 2009-02-19 12:21:46 -0400 (Reuters Health)
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![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)
