AuntMinnie.com International Editor Eric Barnes died on July 5 after a brief illness.
One of AuntMinnie.com's founding editors, Barnes joined the company in October 1999, a few months before it launched at RSNA 1999. A Michigan native, he came to AuntMinnie.com as part of a career in health journalism.
International Editor Eric Barnes.Barnes immediately made his mark on AuntMinnie.com as it grew to become the premier online portal for radiology professionals. He specialized in covering CT, CT colonography, and advanced visualization, but found no topic too arcane or specialized to write about.
He had a passion for international travel and, in particular, loved attending the annual European Congress of Radiology in Vienna. He spoke a number of languages fluently, including Russian, Spanish, and French, and was learning German. He counted many radiologists among his personal friends.
His personal interests included the outdoors and choral singing, and he was active in the Metropolitan Community Church of San Francisco.
"Eric had a larger-than-life personality and believed in living every moment to its fullest, every day," said AuntMinnie.com Editor-in-Chief Brian Casey. "He will be missed terribly, both at AuntMinnie.com and by the radiology community around the world."
Donations can be made in Eric's name to the Sierra Club or the Metropolitan Community Church.
![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&dpr=2&fit=crop&h=167&q=70&w=250)
