MRI vendor Fonar continues to be negatively impacted by COVID-19, although scan volumes increased compared with the prior quarter.
For the first quarter of fiscal 2021 (end-30 September), Fonar posted revenue of $21 million (17.7 million euros), down 4% compared with revenue of $21.7 million (18.3 million euros) the fiscal quarter one year prior. The company's net income for the most recent period decreased to $3.3 million (2.8 million euros), compared with income of $4.5 million (3.8 million euros) in the first quarter of fiscal 2020.
However, MRI scan volume increased by 50% to 41,566 scans for the three-month period compared with 27,757 scans for the previous period ended June 30. To date, the most severe effects of the pandemic on MRI scan volume occurred during the three-month period that ended June 30, Fonar said.
Even still, the amount is 13% less than scan volume generated in the first quarter of fiscal 2020: 41,566 compared with 47,027.
![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)
