Abstract #2248

Assessment of Synthetic 3T Image Generator for Accurate CSF Volume Measurement in T1-w, T2-w, and FLAIR Sequences Compared to Low-Field Imaging

Kh Tohidul Islam¹, Shenjun Zhong^1,2, Parisa Zakavi¹, Helen Kavnoudias^3,4, Shawna Farquharson², Gail Durbridge⁵, Markus Barth⁶, Katie L. McMahon⁷, Paul M. Parizel^8,9, Gary F. Egan¹, Andrew Dwyer¹⁰, Meng Law^3,4, and Zhaolin Chen^1,11

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: AI/ML Image Reconstruction, Low-Field MRI

Motivation: Addressing limited access to high-field MRI systems, our study investigates whether a Synthetic 3T Image Generator can enhance low-field MRI to match high-field image quality, crucial for accurate cerebrospinal fluid (CSF) volume analysis.

Goal(s): We aimed to validate the efficacy of the Synthetic 3T generator in improving CSF volume measurements on low-field MRI, in comparison to high-field T1-w, T2-w, and FLAIR sequences.

Approach: A cGAN was employed to enhance 64mT MRI data to synthetic 3T images, for evaluation in comparison to high-field MRIs.

Results: The synthetic 3T images demonstrated significant improvements in CSF volume estimation across all sequences when compared to low-field images.

Impact: The synthetic 3T MRI enhancements could advance neuroimaging in resource-limited settings, improve diagnostic precision for brain injuries and potentially broaden the application of neurological and psychiatric patient care worldwide and expand neuroimaging research opportunities.

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