Educational Exhibit | LL-INE1216 | Lakeside Learning Center
A lunchtime continuing medical education session will be held this year to demonstrate a high-resolution mobile display of virtual colonoscopy powered by a cloud-based computer-aided detection (CAD) system.Led by Hiroyuki Yoshida, PhD; Yin Wu; and Wenli Cai, PhD, from Massachusetts General Hospital, daily demonstrations during the RSNA meeting will also highlight the effects of motion-based VC navigation on the localization and diagnosis of colonic lesions.
The session will include a computer demonstration of the group's recently developed cloud-based virtual colonoscopy platform, Cai told AuntMinnie.com. The system will use a commercialized cloud and tablet PCs to demonstrate mobile diagnosis in colon cancer screening. In addition, the group will demonstrate a motion-based natural user interface in the fly-through of VC studies.
![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)
