Publications by authors named "Seonghyuk Kim"
Biomed Eng Lett
November 2024
Article Synopsis
- Accelerated MRI reduces data acquisition time by gathering fewer data points, which can lead to image artifacts; traditional methods address this but lack robustness.
- Recent advances in deep learning have improved MRI image reconstruction, utilizing specialized network architectures and hardware to achieve better results with higher acceleration while preserving detail.
- The paper discusses foundational concepts of deep learning and traditional reconstruction methods, reviews new deep learning approaches leveraging redundant MRI signals, and concludes with insights on challenges and future directions in the field.
