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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2248
Primary Topic
Medical Imaging Techniques and Applications
Type
article
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article

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

Katie L. McMahon, Shenjun Zhong, Gary F. Egan, Meng Law et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Medical Imaging Techniques and Applications
article

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

Katie L. McMahon, Shenjun Zhong, Gary F. Egan, Meng Law, Andrew A. Dwyer, Paul M. Parizel, Shawna Farquharson, Gail Durbridge, Kh Tohidul Islam, Zhaolin Chen, Markus Barth, Parisa Zakavi, Helen Kavnoudias
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
Medical Imaging Techniques and Applications
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Assessment of Synthetic 3T Image Generator for Accurate CSF Volume Measurement in T1-w, T2-w, and FLAIR Sequences Compared to Low-Field Imaging — Katie L. McMahon, Shenjun Zhong, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS