Siemens Healthcare's angiography system has been selected by a U.K. lung and heart center, according to the Malvern, PA-based company.
Siemens' Axiom Artis dFC angiography system, a Niobe magnetic guidance system with Navigant, and an Odyssey network system from Stereotaxis have been installed at Royal Brompton Hospital's magnetic navigation catheter lab. The new lab will allow the hospital to perform interventional cardiology, including radiofrequency ablation.
The system also features Siemens' syngo DynaCT cardiac workstation, which allows clinicians to take 3D cross-sectional reconstructions of the beating heart to aid electrophysiology. The lab has also been equipped with Siemens' Sensis XP hemo and EP64 applications that provide recording capabilities for both hemodynamics and electrophysiology, Siemens said.
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Siemens donates to China earthquake relief, May 28, 2008
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![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)
