Imaging Diagnostic Systems (IDSI) of Fort Lauderdale, FL, has sold a CT laser mammography (CTLM) system to the MeDoc HealthCare Center (MDHC) in Budapest, Hungary.
The transaction is IDSI's first sale in the country and was handled through its distributor, Laszlo Meszaros of Kardia, Hungary.
MDHC is a new privately operated medical center dedicated to cancer detection and treatment.
Related Reading
IDSI takes Israeli order, October 7, 2008
Grable returns to IDSI, April 24, 2008
IDSI says Hansen to retire as CEO, December 28, 2007
IDSI adds CTLM trial site, November 29, 2007
IDSI sells HQ for $4.4 million in leaseback deal, September 19, 2007
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)
