Dear AuntMinnie Member,
Each time you see an athlete cross the finish line at this month's Olympic Games in Athens, you're witnessing a triumph of athletic achievement. And while training and natural ability are major parts of any athlete's success, staying free of injury can often mean the difference between standing on the winner's podium and watching the Olympics from home.
The athletes are benefiting from the major advances that have occurred in medical imaging technology in recent years. From multislice CT to musculoskeletal MRI to digital radiography, radiologists and sports imaging specialists have more tools at their disposal than ever to diagnose and treat injuries.
Find out how medical imaging is supporting Olympic athletes with AuntMinnie.com's 2004 Olympic Games RADCast. AuntMinnie writers Tracie L. Thompson and Matt King are on hand in Athens, filing reports on how radiology is helping the games -- and the athletes -- run smoothly.
You'll also find stories in the RADCast that you can use in everyday practice to help you diagnose sports-related injuries -- and be a star in the eyes of your patients and referring physicians. Check it out at olympics.auntminnie.com. And be sure to visit our photo gallery from the games, updated daily.











![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)


