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Abstract #3764

Radiological Image Quality Assessment of Synthetic 3T MRI Image from 64mT MRI

Kh Tohidul Islam1, Shenjun Zhong1,2, Parisa Zakavi1, Helen Kavnoudias3,4, Shawna Farquharson2, Gail Durbridge5, Markus Barth6, Katie L. McMahon7, Paul M. Parizel8,9, Gary F. Egan1, Andrew Dwyer10, Meng Law3,4, and Zhaolin Chen1,11
1Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia, 2Australian National Imaging Facility, Queensland, Australia, 3Neuroscience, Monash University, Clayton, Victoria, Australia, 4Radiology, Alfred Hospital, Victoria, Australia, 5Herston Imaging Research Facility, University of Queensland, Queensland, Australia, 6School of Electrical Eng. and Computer Science, University of Queensland, Queensland, Australia, 7School of Clinical Science, Queensland University of Technology, Queensland, Australia, 8David Hartley Chair of Radiology, Royal Perth Hospital, Western Australia, Australia, 9Medical School, University of Western Australia, Western Australia, Australia, 10South Australian Health and Medical Research Institute, South Australia, Australia, 11Data Science and AI, Monash University, Clayton, Victoria, Australia

Synopsis

Keywords: Synthetic MR, Low-Field MRI

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.

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Keywords