Dear AuntMinnie Member,
AuntMinnieTV returns for a winter run with Advances in CT Technology, a new series of segments on CT product news from last month's RSNA meeting in Chicago.
What's AuntMinnieTV? It's a special section of AuntMinnie.com that uses streaming video technology to showcase the latest clinical and business news in medical imaging. AuntMinnieTV's multimedia format lets you see for yourself how today's most advanced technologies work in a clinical environment.
Our new series brings you coverage straight from the RSNA exhibit floor at Chicago's McCormick Place. We interviewed the major CT vendors -- as well as one start-up CT firm -- and asked them to describe both the new products they're shipping now, as well as future technologies that may take years to come to market.
You can view the segments by visiting our AuntMinnieTV RSNA 2005 Video Gallery, available here. We'll be featuring a new CT vendor every week through January, so make sure to come back often.

















![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)


