Digital x-ray developer AFP Imaging of Elmsford, NY, has sold its Italian Quantitative Radiology (QR) subsidiary, developer of the NewTom conebeam CT (CBCT) dental scanner.
AFP sold QR to Cefla Capital Services in a stock purchase transaction. The proceeds of the sale have been used to reduce AFP's domestic secured debt, increase its working capital, and position the company to expand its product distribution throughout the world.
QR of Verona will distribute NewTom exclusively through AFP Imaging in North, Central, and South America; Australia; South Africa; and Israel.
AFP will continue to manufacture and distribute worldwide its other x-ray imaging products, which include EVA digital sensors, panoramic x-rays, and film processors.
Cefla's Dental Group of Imola, Italy, manufactures dental equipment and is a subsidiary of Cefla, a multinational manufacturer of technology products for numerous industries.
Related Reading
AFP secures investment, restructures debt, July 3, 2009
AFP adds, cuts dealers in Canada, March 13, 2009
AFP Imaging to seek strategic alternatives, October 29, 2008
AFP Imaging posts higher Q2 revenues, February 18, 2008
AFP Imaging begins VG deliveries, December 17, 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)
