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Article
Material decomposition using dual-energy CT with unsupervised learning
Material decomposition (MD) is an application of dual-energy computed tomography (DECT) that decomposes DECT images into specific material images. However, the direct inversion method used in MD often amplifie...
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Article
Feasibility of Using Deep Learning to Generate Dual-Energy CT from 120-kV CT
Deep learning (DL) has been applied to generate a high-kV (e.g., 140 kV) computed tomography (CT) image from its low-kV (e.g., 80 or 100 kV) CT image. This indicates that dual-energy CT (DECT) analysis can be ...
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Article
Open AccessOphthalmic artery flow direction change predicts recurrence of ischemic stroke after carotid stenting: a longitudinal observational study
The implantation of carotid artery stents prevents recurrent ischemic stroke in patients with carotid stenosis. This study aimed to investigate associations between change of ophthalmic artery flow (COAF) post...
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Article
Generation of Brain Dual-Energy CT from Single-Energy CT Using Deep Learning
Deep learning (DL) has shown great potential in conversions between various imaging modalities. Similarly, DL can be applied to synthesize a high-kV computed tomography (CT) image from its corresponding low-kV...
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Article
Open AccessThe prediction of acute ischemic stroke patients’ long-term functional outcomes treated with bridging therapy
Intravenous thrombolysis therapy (IVT) bridged with intra-arterial thrombectomy (IAT) has recently been recommended as favorable treatment option to ensure that the thrombolytic effect is delivered to the affe...
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Article
Constraint ratio in product assembly planning
Assembly planning considers the product, process, and production system. The existence of constraints makes the assembly planning process difficult and time consuming. The planning degree of freedom (PDOF) for...
