deep-learning image reconstruction algorithm Search Results


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Acquisition and reconstruction parameters used for each dual-energy CT platform with a dose level of 10 mGy
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Acquisition and reconstruction parameters used for each dual-energy CT platform with a dose level of 10 mGy
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Acquisition and reconstruction parameters used for each dual-energy CT platform with a dose level of 10 mGy
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Acquisition and reconstruction parameters used for each dual-energy CT platform with a dose level of 10 mGy
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Acquisition and reconstruction parameters used for each dual-energy CT platform with a dose level of 10 mGy
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Image Search Results


Acquisition and reconstruction parameters used for each dual-energy CT platform with a dose level of 10 mGy

Journal: Quantitative Imaging in Medicine and Surgery

Article Title: Comparison of virtual monoenergetic imaging between a rapid kilovoltage switching dual-energy computed tomography with deep-learning and four dual-energy CTs with iterative reconstruction

doi: 10.21037/qims-21-708

Figure Lengend Snippet: Acquisition and reconstruction parameters used for each dual-energy CT platform with a dose level of 10 mGy

Article Snippet: For the first time, we assessed the performance of the rapid kV-switching CT (KVSCT-Canon) equipped with the deep learning spectral reconstruction algorithm (DLSR) developed by Canon Medical Systems using two slice thicknesses: the usual clinical slice thickness (0.5 mm) and a slice thickness of 1.5 mm.

Techniques: Computed Tomography