Ultrasound imaging developer TechniScan Medical Systems of Salt Lake City has closed a round of financing that brought in $13 million to the firm, most of it from Italian medical device manufacturer Esaote.
In addition to Esaote, the investment round included members of TechniScan's board of directors, as well as angel investors. The funding will enable TechniScan to complete testing of its UltraSound CT technology, and begin the next set of clinical trials required before bringing the product to market, according to the company.
The company expects the next set of clinical trials to begin in May at the University of California, San Diego, in La Jolla, and the Mayo Clinic in Rochester, MN. Commercial sales are expected to begin at the end of 2008.
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Esaote signs big Chinese contract, November 8, 2007
Road to RSNA, Ultrasound, Esaote, November 5, 2007
Road to RSNA, MRI, Esaote, October 29, 2007
TechniScan scores NIH grants, October 15, 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&dpr=2&fit=crop&h=167&q=70&w=250)
