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Second-Order Regression-Based MR Image Upsampling
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The spatial resolution of magnetic resonance imaging (MRI) is often limited due to several reasons, including a short data acquisition time.
Several advanced interpolation-based image upsampling algorithms have been developed to increase the resolution of MR images.
These methods estimate the voxel intensity in a high-resolution (HR) image by a weighted combination of voxels in the original low-resolution (LR) MR image.
As these methods fall into the zero-order point estimation framework, they only include a local constant approximation of the image voxel and hence cannot fully represent the underlying image structure(s).
To this end, we extend the existing zero-order point estimation to higher orders of regression, allowing us to approximate a mapping function between local LR-HR image patches by a polynomial function.
Extensive experiments on open-access MR image datasets and actual clinical MR images demonstrate that our algorithm can maintain sharp edges and preserve fine details, while the current state-of-the-art algorithms remain prone to some visual artifacts such as blurring and staircasing artifacts.
American Psychological Association (APA)
Hu, Jing& Wu, Xi& Zhou, Jiliu. 2017. Second-Order Regression-Based MR Image Upsampling. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1142241
Modern Language Association (MLA)
Hu, Jing…[et al.]. Second-Order Regression-Based MR Image Upsampling. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1142241
American Medical Association (AMA)
Hu, Jing& Wu, Xi& Zhou, Jiliu. Second-Order Regression-Based MR Image Upsampling. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1142241
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142241