Spanish x-ray developer Sociedad Espanola de Electromedicina y Calidad (Sedecal) is claiming victory in its patent infringement case against South Korean digital radiography (DR) manufacturer DRGEM and its U.S. distributor Blue Ridge X-Ray.
According to Sedecal, the U.S. Court of Appeals for the Federal Circuit recently issued an order that reverses a district court's interpretation that a Sedecal patent was invalid and not infringed by DRGEM and Blue Ridge.
Sedecal initially filed its lawsuit in 2010, alleging that DRGEM's GXR model x-ray generators, sold the generators through Blue Ridge under the brand name Pinnacle, copied Sedecal's features. DRGEM and Blue Ridge argued that the patent claimed that the generator was an inoperable device and the GXR model did not infringe on Sedecal's technology.
However, the higher court reversed the district court decision and rejected the defendants' arguments, finding that the patent is valid and that the device is an operable high-voltage transformer. The appeals court decision sends the case back to district court for trial.










![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&fit=crop&h=112&q=70&w=112)






