Histopathological Validation of Microstructure-Informed Susceptibility Source Separation (MI-SSS) for Brain Iron and Myelin Quantification

Motivation: Myelin and iron carry significant roles in several neurodegenerative disease processes. The development of noninvasive imaging modalities for myelin and iron quantification and validation of these modalities are important steps in clinical MRI research. Goal(s): MI-SSS is developed for the improved estimation of brain myelin and iron and here it is aimed to validate MI-SSS maps with histopathological quantification techniques. Approach: An ex vivo whole brain is scanned; myelin and iron biomarkers maps are reconstructed and the results are correlated against histopathological findings. Results: Both susceptibility maps showed significant correlation with histopathological myelin and iron quantifications presenting accurate performance of MI-SSS. Impact: Myelin and iron quantification carry significant clinical importance for diagnosis and monitoring of neurodegenerative diseases. MI-SSS is developed to provide an improved and practical framework for this purpose. Here, the MI-SSS is validated against gold standard histopathological findings.

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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/10.58530/2024/1299
Primary Topic
Molecular Biology Techniques and Applications
Type
article
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article

Histopathological Validation of Microstructure-Informed Susceptibility Source Separation (MI-SSS) for Brain Iron and Myelin Quantification

David Pitt, Kelly M. Gillen, Mert Şişman, Susan A. Gauthier 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
Molecular Biology Techniques and Applications
article

Histopathological Validation of Microstructure-Informed Susceptibility Source Separation (MI-SSS) for Brain Iron and Myelin Quantification

David Pitt, Kelly M. Gillen, Mert Şişman, Susan A. Gauthier, Alexey Dimov, Pascal Spincemaille, Thanh Nguyen, Yi Wang
article en

Abstract

Motivation: Myelin and iron carry significant roles in several neurodegenerative disease processes. The development of noninvasive imaging modalities for myelin and iron quantification and validation of these modalities are important steps in clinical MRI research. Goal(s): MI-SSS is developed for the improved estimation of brain myelin and iron and here it is aimed to validate MI-SSS maps with histopathological quantification techniques. Approach: An ex vivo whole brain is scanned; myelin and iron biomarkers maps are reconstructed and the results are correlated against histopathological findings. Results: Both susceptibility maps showed significant correlation with histopathological myelin and iron quantifications presenting accurate performance of MI-SSS. Impact: Myelin and iron quantification carry significant clinical importance for diagnosis and monitoring of neurodegenerative diseases. MI-SSS is developed to provide an improved and practical framework for this purpose. Here, the MI-SSS is validated against gold standard histopathological findings.

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 81%
Molecular Biology Techniques and Applications
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Histopathological Validation of Microstructure-Informed Susceptibility Source Separation (MI-SSS) for Brain Iron and Myelin Quantification — David Pitt, Kelly M. Gillen, 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