Medis Medical Imaging Systems of Leiden, the Netherlands, and TomTec Imaging Systems of Munich, Germany, have launched a joint cardiac imaging and analysis product for angiography and ultrasound.
The integrated software package features TomTec's Image-Arena and Medis' QAngio XA quantification software. It will be available as one platform that can be integrated into the products of medical device manufacturers and connects to existing PACS, HIS, cardiac PACS, and cardiac visualization information systems in hospitals.
The software is designed to reduce the integration effort for industry partners and for hospitals that want to optimize their imaging and analysis processes and data management.
Related Reading
Road to RSNA, Advanced Visualization, Medis Medical Imaging Systems, November 6, 2008
Medis, Machnet partner on carotid imaging, October 15, 2008
Medis signs software partnership, February 28, 2008
TomTec launches new echo mode, September 2, 2008
TomTec enters cardiac PACS market, March 27, 2008
Toshiba, TomTec to partner on cardiac 4D ultrasound, December 6, 2007
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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)
