7T MRI-Synthesized Iron and Myelin Histology by Deep Learning

Motivation: Advanced MRI techniques aim to evaluate the existence of iron and myelin but still face limitations, particularly in white matter regions. Histological staining remains the gold standard due to its precision in assessing myelin and iron levels. Goal(s): To synthesize histological images of iron and myelin staining from MRI. Approach: Use deep learning to create histology-like staining images from multi-contrast MRI. Results: Deep learning successfully generated high-resolution iron and myelin staining images. Impact: Our research shows that deep learning can synthesize myelin and iron stainings from multi-contrast MRI. This technique enhances understanding of brain development, function, and diseases, promising advances in medical imaging and histology.

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
2025-09-16
DOI
https://doi.org/10.58530/2025/1201
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
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article

7T MRI-Synthesized Iron and Myelin Histology by Deep Learning

Günther Grabner, Wolfgang Bogner, Simon Hametner, Beata Bachrátá 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
Digital Imaging for Blood Diseases
article

7T MRI-Synthesized Iron and Myelin Histology by Deep Learning

Günther Grabner, Wolfgang Bogner, Simon Hametner, Beata Bachrátá, Romana Höftberger, Sutatip Pittayapong
article en

Abstract

Motivation: Advanced MRI techniques aim to evaluate the existence of iron and myelin but still face limitations, particularly in white matter regions. Histological staining remains the gold standard due to its precision in assessing myelin and iron levels. Goal(s): To synthesize histological images of iron and myelin staining from MRI. Approach: Use deep learning to create histology-like staining images from multi-contrast MRI. Results: Deep learning successfully generated high-resolution iron and myelin staining images. Impact: Our research shows that deep learning can synthesize myelin and iron stainings from multi-contrast MRI. This technique enhances understanding of brain development, function, and diseases, promising advances in medical imaging and histology.

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 75%
Digital Imaging for Blood Diseases
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7T MRI-Synthesized Iron and Myelin Histology by Deep Learning — Günther Grabner, Wolfgang Bogner, 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 (2025) | TGRS Research Map | TGRS