The U.S. MRI market continued to chug along at a respectable pace in 2006, with nearly 1,000 scanners expected to be sold during the year, according to market research firm IMV Medical Information Division of Des Plaines, IL. The installed base of MRI scanners has been growing by about 4% annually for the last several years, according to IMV's estimates.

The DRA has many operators of outpatient imaging centers wringing their hands over whether they can continue to do business in an environment in which revenues drop by as much as 30%. And perhaps no modality is as associated with entrepreneurial outpatient imaging as MRI.
Will the DRA lead to a widespread drop in MRI scanner purchasing? Or has much of the fear of the DRA's impact already been incorporated into MRI orders? Or will the cavalry somehow ride to the rescue at the 11th hour, with Congress overturning the legislation in a lame-duck session after the November 7 elections?
Whatever happens, one thing is certain: MRI vendors will continue to churn out new technology, and the halls of McCormick Place in Chicago will be the best place to see it. At this year's show, 3-tesla scanners will continue to claim their place as the new gold standard for clinical high-field imaging.
Also look for specialized scanners to garner attention. Breast MRI continues to make inroads as an adjunct to mammography, and several vendors will be introducing new image acquisition techniques and breast imaging accessories. Another market segment, orthopedic MRI with dedicated extremity scanners, has also been experiencing activity.
For a full rundown on new products and technologies to be shown on the technical exhibit floor, just click on the links below.
Disclosure notice: AuntMinnie.com is owned by IMV, Ltd.


















![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&fit=crop&h=112&q=70&w=112)