An automatic restoration framework based on GPU-accelerated collateral filtering in brain MR images

An automatic restoration framework based on GPU-accelerated collateral filtering in brain MR images

Abstract Background Image restoration is one of the fundamental and essential tasks within image processing. In medical imaging, developing an effective algorithm that can automatically remove random noise in brain magnetic resonance (MR) images is challenging. The collateral filter has been shown a...

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Bibliographic Details
Main Authors: Herng-Hua Chang, Cheng-Yuan Li
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Medical Imaging
Subjects:
Collateral filter
GPU
Parallel computing
Image feature
Neural networks
MRI
Online Access:http://link.springer.com/article/10.1186/s12880-019-0305-9

Internet

http://link.springer.com/article/10.1186/s12880-019-0305-9

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