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...