Dear AuntMinnie Member,
When you think "convertibles," an ultrasound scanner may not be the first thing that leaps to mind. But a new company that debuted at this month's RSNA meeting is out to change perceptions with a technology they're calling "convertible ultrasound."
The firm, Zonare Medical Systems of Mountain View, CA, used the RSNA show to launch its new z.one system. The unit's novel design enables it to function either as a compact, hand-carried ultrasound scanner to take to the patient's bedside, or converted to a more traditional cart-based unit for use in the imaging suite.
The z.one scanner also employs what Zonare calls zone sonography, in which ultrasound information is captured in zones rather than in individual lines, as occurs in conventional systems.
In this second AuntMinnieTV segment, you'll learn all about Zonare and convertible ultrasound -- and you can view dynamic clips of images acquired with the system. To see the video, just click here.
To watch our previous AuntMinnieTV segment, on the use of diffusion-tensor MRI (DTI) to image the neurological changes in children caused by attention-deficit hyperactivity disorder (ADHD), just click on the link to the right.














![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)