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Learning-based k-Space Weighted Image Contrast (L-KWIC) for Golden Angle Radial Dynamic MRI

Published: 14 March 2022 Publication History

Abstract

Golden angle radial dynamic MRI is an important imaging tool for clinical diagnosis and treatment, but the motion of subjects can cause significant artifacts and blurring. In this paper, a novel method named learning-based k-space weighted image contrast (L-KWIC) is proposed to address this problem. This approach introduces the learning mechanism to the k-space weighted image contrast algorithm. It adds only simple steps compared to the original reconstruction process, so it does not require extra computing capability of the imaging device. Both subjective assessment and evaluation metrics of the experimental results indicate that the quality of reconstruction images can be improved by L-KWIC.

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ICBBE '21: Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering
November 2021
216 pages
ISBN:9781450385077
DOI:10.1145/3502871
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 March 2022

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Author Tags

  1. Dynamic MRI
  2. Golden Angle Radial Imaging
  3. Learning-based method
  4. Magnetic resonance imaging

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