Toshiba Medical Systems Europe of Zoetermeer, Netherlands, unveiled a new ultrasound scanner in Europe this week, as well as a new grayscale image processing technology.
The Aplio MX premium ultrasound system shares its core imaging architecture and its transducers with Toshiba's Aplio XG ultrasound system.
Aplio MX also features imaging functions such as differential tissue harmonics, ApliPure+, and Precision Imaging to enhance image clarity for disease management decisions in the shortest possible time.
Toshiba also has introduced its new Acoustic Structure Quantification (ASQ) technology. The clinical application is designed to analyze echo signal data at more than 100 times higher resolution than normal grayscale or color-flow images by using the Toshiba Ultrasound Raw Data Interface hardware extension.
ASQ is available as an option on Toshiba's Aplio XG platform.
The product announcements will come this week at the Ultraschall 2009 annual meeting in Salzburg, Austria.
Related Reading
Toshiba re-signs with Midwest Ultrasound, September 23, 2009
Toshiba adds low-contrast vascular imaging tool, September 21, 2009
Toshiba to broaden use of AIP software, September 16, 2009
Toshiba hits Vantage milestone, August 25, 2009
Toshiba, AHRA to continue grant program, August 10, 2009
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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)
