Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Tractographie par imagerie par tenseur de diffusion (tractographie DTI)× | Cartographie Quantitative de Susceptibilité× | |
|---|---|---|
| Domaine | Imagerie médicale | Imagerie médicale |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1999 | 2015 |
| Auteur d'origine≠ | Peter Basser | Yong Wang |
| Type≠ | Fiber tracking from diffusion MRI | Quantitative MRI contrast mechanism |
| Source fondatrice≠ | Basser, P. J., Mattiello, J., LeBihan, D. (1994). Estimation of the effective self-diffusion tensor from the NMR spin echo. Journal of Magnetic Resonance, Series B, 103(3), 247-254. DOI ↗ | Wang, Y., Liu, T. (2015). Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker. Magnetic Resonance in Medicine, 73(1), 82-101. DOI ↗ |
| Alias≠ | Diffusion tensor tractography, White matter tractography, Fiber tracking | QSM, susceptibility-weighted imaging |
| Apparentées | 5 | 5 |
| Résumé≠ | Diffusion Tensor Imaging Tractography (DTI tractography) is a non-invasive neuroimaging technique that maps white matter fiber bundles in the brain by tracking the three-dimensional diffusion of water molecules along axons. Pioneered by Basser, Mori, and Conturo in the 1990s, DTI tractography reveals the structural connectivity of the brain, enabling visualization of major pathways (corpus callosum, arcuate fasciculus, corticospinal tract) and assessment of fiber integrity. It is widely used in neurosurgical planning, neurological disease assessment, and brain connectivity research. | Quantitative Susceptibility Mapping (QSM) is a post-processing technique that converts MRI phase data into quantitative susceptibility values, enabling direct visualization and measurement of tissue magnetic properties. Developed by Wang, Liu, and colleagues, QSM transforms phase shifts caused by differences in magnetic susceptibility between tissues into tissue-specific biomarkers. It has revolutionized the sensitivity of MRI to iron, calcium, and other paramagnetic and diamagnetic substances, making it valuable in neurodegenerative disease diagnosis and tissue characterization. |
| ScholarGateJeu de données ↗ |
|
|