French software firm ETIAM has released an upgrade for CD-in, the company's application for importing images on CDs and DVDs or other media from outside institutions into a PACS network.
CD-in version 2 can be used at registration desks, in film rooms, or at other locations where prior studies on media need to be imported into an institution's PACS. Upgrades in the new version include improved productivity, an enhanced user interface, and an extended range of supported media, according to Rennes-based ETIAM.
Related Reading
ETIAM upgrades DICOM Izer, January 6, 2009
Road to RSNA, PACS Accessories, ETIAM, November 4, 2008
Road to RSNA, PACS Accessories, ETIAM, October 30, 2007
ETIAM forms U.S. subsidiary, October 3, 2007
ETIAM debuts new worklist broker, January 24, 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&fit=crop&h=112&q=70&w=112)





