Italian mammography firm Internazionale Medico Scientifica (IMS) and Canadian distributor BCL X-Ray Canada have installed IMS' Giotto digital mammography system at Hotel Dieu Hospital in Kingston, Ontario.
The institution will serve as a North American demonstration site for Giotto, according to BCL of Mississauga, Ontario, and IMS of Bologna, Italy.
Related Reading
Road to RSNA, Women's Imaging, Internazionale Medico Scientifica (IMS)/Giotto USA, October 26, 2007
Road to RSNA, Women's Imaging, Internazionale Medico Scientifica/Giotto, November 9, 2006
IMS gets Canadian clearance for Giotto, July 27, 2006
Road to RSNA, Women's Imaging, Internazionale Medico Scientifica, November 7, 2005
Road to RSNA, Women's Imaging, Internazionale Medico Scientifica, November 10, 2004
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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)
