- CT Child PhantomsCT examinations of children account for approximately 5 to 11% of all CT scans and require special attention to avoid...
- New Color, Same FunctionalityWe are thrilled to announce the launch of our revamped portfolio at PhantomX. Our team has been hard at work,...
- Liver Lesions in our CT Abdomen PhantomThe identification of liver lesions is a task known for its challenges, yet crucial for patients in detecting metastatic diseases...
- Investigating Aneurysm Detection: Real-World Imaging InsightsWe recently scanned our Aneurysm Head Phantom to examine the influence of image data quality on AI algorithms for intracranial...
- Realistic Neurological Pathologies in our CT Head PhantomOur Stroke/Bleed Phantom adeptly simulates various neurological pathologies, ranging from early infarction signs to diverse bleeding patterns. Are you able...
- Unlocking the Future of Brain Aneurysm DiagnosisIntracranial aneurysms affect 3% of the global population and play an important role in hemorrhagic stroke. Approximately 25% of patients...
- Software platform for reader assessment of image qualityThe purpose of reader experiments is to assess the quality of medical images for diagnostic decisions by medical professionals. Their...
- Deep learning reconstruction improves image quality for radiomicsRadiomics uses quantitative pixel information extracted from CT images to assess tumors and enable improved and personalized cancer therapies1. Radiomics...
- Deep learning reconstruction of CT imagesSeveral CT vendors have introduced deep learning algorithms for the reconstruction of CT images. Deep learning reconstruction methods use deep...
- Iterative reconstruction and hepatic lesion conspicuity at reduced doseIterative reconstruction was introduced into clinical routine more than a decade ago and is a standard reconstruction method widely used...