MRI vendor Fonar of Melville, NY, has installed its Upright MRI system at St. Vincent Carmel Hospital in Carmel, IN.
The 125-bed hospital plans to open a new 3,000-sq-ft state-of-the-art MRI suite on December 11, 2006, according to the company.
Fonar also announced it has sold an Upright MRI system to Dr. Jack Shapiro, a board-certified surgeon in New York City.
The Upright system allows patients up to 500 lb to be scanned in numerous weight-bearing positions, Fonar said.
By AuntMinnie.com staff writers
November 30, 2006
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Fonar revenues plunge, firm posts big loss, September 15, 2006
Fonar lands milestone U.K. sale, September 6, 2006
Fonar gets Nasdaq extension, June 26, 2006
Fonar wins rights to sell to DoD, June 21, 2006
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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.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)