Siemens Healthcare of Malvern, PA, has unveiled its new Fast Care technology platform for CT scanners to help hospital staff members perform examinations faster and more efficiently with as little dose as possible.
The Fast Care applications are designed to simplify workflows during scanning and in the preparation of image reconstructions. The result is less radiation dose and shorter examination times, as the system automates operating procedures, suggests parameter settings for image quality and dose reduction, and standardizes processes.
Fast Care will be available on the Somatom Definition AS scanners in March 2011 and on the Somatom Definition Flash scanners in May 2011. Somatom Definition CT scanners already on the market can be upgraded to the new platform.
The Fast Care platform will be available on all Definition AS configurations from entry-level 20-slice to a premium 128-slice AS+. The 64-slice Somatom Definition AS with Fast Care will be field-upgradeable to AS+ Fast Care, making it the only upgradeable 64-slice scanner on the market, according to Siemens.
Related Reading
Siemens launches scalable refurb program, November 19, 2010
Siemens gets 510(k) for FFDM unit, November 18, 2010
Siemens wins U.K. PET/CT contract, November 17, 2010
Charges hurt Siemens Healthcare Q4 results, November 15, 2010
Siemens partners with ScImage, November 15, 2010
Copyright © 2010 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)
