GE Healthcare of Chalfont St. Giles, U.K., launched a new 64-detector-row CT scanner, Optima CT660, at the annual Röntgenkongress in Germany this month.
Optima CT660 is designed to be an all-around CT scanner and is built around GE's adaptive statistical iterative reconstruction (ASIR) technique for scanning at low radiation doses. It also supports the company's volume helical shuttle mode for dynamic 4D volume scans, which yield dynamic coverage up to 31.25 cm.
The scanner is capable of cardiac imaging, has a footprint of 18 sq meters, and includes a color 12-inch monitor designed to enable patients to be introduced into the scanner more easily.
CE Mark certification for Optima CT660 is in progress, GE said.
Related Reading
GE hits healthymagination goals, May 24, 2010
GE touts ADMIRE-HF trial results, May 21, 2010
GE partners with CardioDx on diagnostics, May 13, 2010
GE's German IT unit chooses Matrox boards, May 12, 2010
GE begins 1st Optima MR450w installs, April 28, 2010
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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)
