Carestream Health of Rochester, NY, has signed a number of European contracts for its Kodak Carestream RIS/PACS platforms and Carestream Business Diagnostics consulting service.
Among the facilities awarding contracts to Carestream for its information management systems and related services are Het Groene Hart Ziekenhuis in Gouda, Netherlands; Hospital "A. Cardarelli" in Naples, Italy; Marienhaus Klinikum Neuwied of Neuwied, Germany; and Parkside Hospital in London.
Related Reading
Carestream debuts new dye conjugates, February 15, 2008
Carestream launches multispectral imaging system, February 6, 2008
Carestream adds to molecular imaging product line, September 10, 2007
Carestream rolls out new x-ray table, January 29, 2008
Carestream receives U.S. CR orders, January 23, 2008
Copyright © 2008 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)
