Siemens Healthcare has introduced a premium ultrasound scanner dedicated to women's imaging at the World Congress on Ultrasound in Obstetrics and Gynecology this week in Hamburg, Germany.
A version of Siemens' Acuson S2000 ultrasound system, S2000 - Women's Imaging can provide 2D, Doppler, and 3D/4D imaging for maternal-fetal medicine, obstetrics/gynecology, and breast applications, according to the Malvern, PA-based vendor.
The system features Siemens' 3D Dynamic TCE tissue contrast-enhancement technology, syngo Auto OB tool for automatic routine fetal biometry measurements, syngo Vector Velocity Imaging (VVI) fetal echocardiography technology, and Fetal Heart STIC (spatiotemporal image correlation) imaging for creating 3D fetal heart volumes.
It also includes Siemens' fourSight 3D/4D data acquisition, rendering, and postprocessing package, a transducer specially designed for automated ultrasound breast volume scanning, and the company's eSie Touch application for elasticity imaging, the company said.
Related Reading
Siemens signs deal with SurgiVision, September 8, 2009
Siemens ships new ultrasound software, August 26, 2009
Siemens signs deal with Volcano, August 25, 2009
Siemens gets U.K. MRI order, August 19, 2009
Siemens extends Avingtrans pact, August 11, 2009
Copyright © 2009 AuntMinnie.com
![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
