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Carotid atherosclerosis is a major cause of stroke, traditionally diagnosed late. Positron emission tomography/computed tomography (PET/CT) with 18F‐sodium fluoride (NaF) detects arterial wall micro‐calcification long before macro‐calcification becomes detectable by… Click to show full abstract
Carotid atherosclerosis is a major cause of stroke, traditionally diagnosed late. Positron emission tomography/computed tomography (PET/CT) with 18F‐sodium fluoride (NaF) detects arterial wall micro‐calcification long before macro‐calcification becomes detectable by ultrasound, CT or magnetic resonance imaging. However, manual PET/CT processing is time‐consuming and requires experience. We compared a convolutional neural network (CNN) approach with manual segmentation of the common carotids.
Journal Title: Clinical Physiology and Functional Imaging
Year Published: 2022
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