Advanced visualization firm Vital Images of Minnetonka, MN, and Toshiba Medical Systems of Tochigi, Japan, have renewed their global distribution agreement for the next five years, to December 31, 2013.
Toshiba will continue to offer Vital Images' products through its subsidiaries and distributors in more than 50 nations in North and South America, Europe, the Middle East, Africa, Australia, and Asia, including Japan.
Toshiba has provided Vital Images' advanced visualization and analysis software for the Aquilion and other CT scanners since 2000. Toshiba this week announced that it is buying the Advanced Visualization Imaging System (AVIS) division from Barco of Kortrijk, the Netherlands, and said that the acquisition will not affect its relationship with Vital Images.
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Vital Images posts Q3 net loss, cuts staff, November 7, 2008
Road to RSNA, Advanced Visualization, Vital Images, November 6, 2008
Simha rejoins Vital Images, August 7, 2008
Toshiba gets 4D ultrasound sale, November 12, 2008
Toshiba adds Alabama install, November 10, 2008
Toshiba signs PinnacleHealth, November 3, 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)
