Deep Learning Driven Noise Reduction for Reduced Flux Computed Tomography

Deep Learning Driven Noise Reduction for Reduced Flux Computed Tomography

Deep neural networks have received considerable attention in clinical imaging, particularly with respect to the reduction of radiation risk. Lowering the radiation dose by reducing the photon flux inevitably results in the degradation of the scanned image quality. Thus, researchers have sought to ex...

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Bibliographic Details
Main Authors: Khalid L. Alsamadony, Ertugrul U. Yildirim, Guenther Glatz, Umair Bin Waheed, Sherif M. Hanafy
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
deep learning
convolutional neural network (CNN)
computed tomography (CT) images
micro-CT
reduced exposure time
efficient CT measurement
Online Access:https://www.mdpi.com/1424-8220/21/5/1921

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