Siemens Healthineers has received U.S. Food and Drug Administration (FDA) clearance for two CT systems in the company's go. product family.
The 64-slice Somatom go.Sim and 128-slice Somatom go.Open Pro are designed for radiation therapy planning. The Somatom go. platform features hardware and software components such as patient marking lasers and automated quality assurance to limit potential errors and reduce time to treatment. The scanners have 85-cm bores to accommodate positioning accessories and to improve patient comfort.
In addition, Somatom go.Open Pro's Direct Intelligent 4D (Direct i4D) technology is designed to adapt image acquisition to patient breathing in real-time to reduce artifacts and variations in images to potentially decrease target margins and spare healthy tissue.
![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)
