Extreme Few-view CT Reconstruction using Deep Inference
Abstract
Reconstruction of few-view x-ray Computed Tomography (CT) data is a highly ill-posed problem. It is often used in applications that require low radiation dose in clinical CT, rapid industrial scanning, or fixed-gantry CT. Existing analytic or iterative algorithms generally produce poorly reconstructed images, severely deteriorated by artifacts and noise, especially when the number of x-ray projections is considerably low. This paper presents a...
Paper Details
Title
Extreme Few-view CT Reconstruction using Deep Inference
Published Date
Sep 14, 2019
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