Analysis of Sensing Matrix Design for Under-Sampling MRI-Reference-Cited by-同舟云学术

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Analysis of Sensing Matrix Design for Under-Sampling MRI

Published:2023-12-14 Issue: Volume:10 Page:445-450
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Communication and Information Processing
language:
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Author:

Andryani Nur Afny Catur¹^ORCID,Oey Endra²^ORCID,Laurent Velix Arvino¹^ORCID,Nasya Alexandra¹^ORCID,Husin Husna Sarirah³^ORCID

Affiliation:

1. Computer Science Department, School of Computer Science, Bina Nusantara University, Indonesia

2. Computer Engineering Department, Faculty of Engineering, Bina Nusantara University, Indonesia

3. School of Computer Science, Faculty of Innovation and Technology, Taylor's University, Malaysia

Funder

Bina Nusantara University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638884.3638953

Reference17 articles.

1. C. Forman, J. Wetzl, C. Hayes, and M. Schmidt, “Compressed sensing: A paradigm shift in MRI,” https://www.magnetomworld.siemens-healthineers.com/clinical-corner/case-studies/compressed-sensing-a-paradigm-shift-in-mri.html (accessed Nov. 9, 2023).

2. Compressed sensing MRI: a review from signal processing perspective

3. [11] Q. Ding and X. Zhang, “MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation BT - Medical Image Computing and Computer Assisted Intervention – MICCAI 2022,” 2022, pp. 676–685

4. Compressive Sensing of Medical Images Based on HSV Color Space

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