Siemens Healthcare of Erlangen, Germany, has opened its first PETNet Solutions radiopharmaceutical production facility in India.
PETNet centers produce radiopharmaceuticals such as FDG, with 49 facilities already operating in the U.S., U.K., and Korea. The new facility in India will be located in Chennai and will use a Siemens Eclipse HP cyclotron to produce FDG.
The facility will make it possible for Indian hospitals to conduct PET/CT studies in the state of Tamil Nadu, which currently does not have access to the modality due to the short 110-minute half-life of the fluorine-18 radiopharmaceutical used to tag FDG.
Related Reading
Siemens receives U.K. order, March 25, 2008
Siemens installs first HD-PET system, March 24, 2008
Siemens joins particle therapy center project, March 19, 2008
Siemens nets U.K. Artiste order, March 12, 2008
Siemens adds Definition applications, March 11, 2008
Copyright © 2008 AuntMinnie.com
![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)
