Dear AuntMinnieEurope Member,
When they're done well, poster exhibits can bring prestige to a department and give a boost to an individual's career. When they're done badly, though, they can damage a reputation and cause significant harm.
But what exactly makes a prize-winning poster? And what can you do to get your exhibit noticed? We've posted an interview article with Dr. Maria Argyropoulou about the contents and presentation of posters, conducted by one of our editorial advisers, Dr. Christiane Nyhsen. Click here to find out more.
Interpreting complex prostate MRI studies using multiple pulse sequences is no simple task, but Italian researchers think they've found a solution involving the use of computer-aided detection software. Go to our Advanced Visualization Digital Community, or click here.
The CT equipment market has suffered from the global economic downtown, but the worst now appears to be over. Scanners purchased during the boom of 2006-2008 will need to be replaced over the next three years, and that looks set to drive demand. Visit our CT Digital Community, or click here.
It's also a lively time in the digital tomosynthesis sector. Currently few hospitals have the budget to buy new tomosynthesis x-ray systems, but as aging general radiography systems need replacing, adoption of tomo will increase, reducing reliance on CT. Learn more in our Digital X-Ray Community, or click here.
In addition, we have a market roundup for MRI. Despite severe reimbursement cuts, limited healthcare spending, and the threat of European legislation, MRI remains one of the leading modalities, and has become the new champion of radiology for general imaging. Go to our MRI Digital Community, or click here.
Finally, don't miss this week's case report from South Africa. It features a 22-year-old man who was playing football when metal bars -- possibly scaffolding at the stadium -- fell on him. Click here to access it.













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




