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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...
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