Abstract
Motivation: The necessity to enhance the quality of portable low-field MRI images, which are crucial for wider accessibility but lack high-resolution, drives this research. Goal(s): This study aims to determine whether Synthetic 3T technology can elevate low-field image quality to that of high-field 3T standards, making it diagnostically adequate. Approach: We employed a generative network to transform low-field images to higher quality, maintaining pixel-level accuracy and structural integrity. The study involved a paired dataset from 37-healthy subjects and an evaluation on 20-images by two neuroradiologists. Results: Synthetic 3T demonstrated improved clarity, structure, and contrast, aligning closer to the 3T-quality than the original low-field images. Impact: This investigation highlights the potential of Synthetic 3T to bridge the gap in portable MRI imaging, enabling broader clinical utility. Further research could pivot on its application in pathological cases, with an aim to enhance diagnostic capabilities in resource-limited settings.
| Original language | English |
|---|---|
| Number of pages | 2 |
| Publication status | Published - May 2024 |
| Event | International Society for Magnetic Resonance in Medicine (ISMRM) & The International Society for MR Radiographers & Technologists (ISMRT) Annual Meeting & Exhibition 2024 - Suntec Singapore Convention & Exhibition Centre, Singapore Duration: 4 May 2024 → 9 May 2024 https://www.ismrm.org/24m/ (Website) |
Exhibition
| Exhibition | International Society for Magnetic Resonance in Medicine (ISMRM) & The International Society for MR Radiographers & Technologists (ISMRT) Annual Meeting & Exhibition 2024 |
|---|---|
| Abbreviated title | ISMRM & ISMRT 2024 |
| Country/Territory | Singapore |
| Period | 4/05/24 → 9/05/24 |
| Internet address |
|
Keywords
- Synthetic MR
- Low-Field MRI
- 64mT
Research output
- 1 Article
-
Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field images
Islam, K. T., Zhong, S., Zakavi, P., Chen, Z., Kavnoudias, H., Farquharson, S., Durbridge, G., Barth, M., McMahon, K. L., Parizel, P. M., Dwyer, A., Egan, G. F., Law, M. & Chen, Z., 2023, In: Scientific Reports. 13, 1, 13 p., 21183.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile39 Link opens in a new tab Citations (Scopus)
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver