Denoising Low‐Power <scp>CEST</scp> Imaging Using a Deep Learning Approach With a Dual‐Power Feature Preparation Strategy
The superior denoising performance using the DPDL for LP CEST imaging can enhance the isolation of various pools, thereby improving CEST applications, particularly at low fields.
Authors
- Xiaoyu Jiang (ORCID: https://orcid.org/0000-0002-0369-6301)
- Junzhong Xu (ORCID: https://orcid.org/0000-0001-7895-4232)
- Yashwant Kurmi (ORCID: https://orcid.org/0000-0003-4986-2106)
- Malvika Viswanathan (ORCID: https://orcid.org/0009-0001-9522-0780)
- Zhongliang Zu (ORCID: https://orcid.org/0000-0001-7361-7480)
- You Chen (ORCID: https://orcid.org/0000-0001-8232-8840)
- Leqi Yin (ORCID: https://orcid.org/0009-0005-3445-1912)
Institutions
- Vanderbilt University (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1002/mrm.70124
- Primary Topic
- Lanthanide and Transition Metal Complexes
- Type
- article
- Field-Weighted Citation Impact
- 0.00