“The best descriptive classification of the Aquilion ONE / PRISM Edition CT is - Versatility for all diagnostic purposes.”
Deep Learning Spectral CT of the lung to evaluate nodules. Spectral DLR delivers excellent energy separation and low-noise properties, enabling assessments of Iodine uptake within the lesions, which can help facilitate assessment of benign vs. malignant lesions.
Deep Learning Spectral CT for visualisation and quantification of kidney stones. Two kidney stones are analysed as calcium oxalate.
Deep Learning Spectral CT of the foot for visualisation and quantification of Monosodium Urate (MSU) in the metatarsophalangeal joint of the hallux. Spectral DLR enables volume calculations of the MSU, and color overlay on 3D/2D images for improved visualisation of MSU.
Deep Learning Spectral CT for Pulmonary Embolism assessment. Spectral DLR delivers excellent energy separation and low-noise properties, enabling assessment of perfusion defect within the lung parenchyma, associated with the pulmonary emboli. Courtesy: Kyorin University, Japan.
Myocardium Iodine Maps helps to evaluate the attenuation of the hypo-enhancing area compared to normal myocardium.
Prof. Catherine Roy
Head of the Radiology department at the Strasbourg University |
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© Canon Medical Systems ANZ Pty Limited.