Dual stage MRI image restoration based on blind spot denoising and hybrid attention
We have developed a deep learning-based two-stage model to address noise issues in medical MRI images. This method not only successfully reduces noise signals but also effectively restores anatomical details. The current results indicate that this is a promising approach. In future work, we plan to replace the current denoising network with more advanced models to further enhance performance.
Authors
- Renfeng Liu (ORCID: https://orcid.org/0000-0003-2527-7420)
- Jianfeng Chen (ORCID: https://orcid.org/0000-0002-7281-7138)
- Fei Jiang (ORCID: https://orcid.org/0000-0002-8111-4979)
- Yuan Cao (ORCID: https://orcid.org/0000-0002-8775-0626)
- Tianwei Liu
- Songyan Xiao
Institutions
- Wuhan Polytechnic University (CN)
- Wuhan University (CN)
- Zhongnan Hospital of Wuhan University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1186/s12880-024-01437-8
- Citations
- 3
- Primary Topic
- Image and Signal Denoising Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.75