Siemens Medical Solutions has introduced Somatom Emotion 16, a 16-slice CT scanner targeted at community hospitals and diagnostic imaging centers.
Emotion 16 offers a gantry rotation speed of up to 0.5 seconds, as well as 16-slice 0.6-mm imaging technology, according to the Malvern, PA-based vendor. The air-cooled system has a space requirement of less than 200 square feet, Siemens said. The system is the second 16-slice scanner in Siemens' product line, the other being the Somatom Sensation 16.
Emotion 16 comes equipped with a set of clinical applications such as Siemens' syngo LungCare CT with NEV (Nodule Enhanced Viewing) and syngo colonography with PEV (Polyp Enhanced Viewing), Siemens said. A CT respiratory gating application permits the visualization of lung tumors during breathing, according to the firm.
CARE (Combined Applications to Reduce Exposure) functions have also been included to reduce radiation exposure, Siemens said. CARE Dose4D analyzes the cross-sectional anatomy of each patient in real-time, and automatically adjusts the emitted x-ray dose.
An optional software tool, WorkStream4D, provides 3D reconstruction of raw data in a predefined series of image planes, according to the firm. Siemens plans to release Emotion 16 commercially in the fall of 2005.
By AuntMinnie.com staff writers
March 15, 2005
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Siemens lands ultrasound deal in China, December 19, 2003
Copyright © 2005 AuntMinnie.com
![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=100&q=70&w=100)
![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)
