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Efficient whole‐brain tract‐specific T 1 mapping at 3T with slice‐shuffled inversion‐recovery diffusion‐weighted imaging
- Source :
- Magnetic Resonance in Medicine. 86:738-753
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Purpose Most voxels in white matter contain multiple fiber populations with different orientations and levels of myelination. Conventional T1 mapping measures 1 T1 value per voxel, representing a weighted average of the multiple tract T1 times. Inversion-recovery diffusion-weighted imaging (IR-DWI) allows the T1 times of multiple tracts in a voxel to be disentangled, but the scan time is prohibitively long. Recently, slice-shuffled IR-DWI implementations have been proposed to significantly reduce scan time. In this work, we demonstrate that we can measure tract-specific T1 values in the whole brain using simultaneous multi-slice slice-shuffled IR-DWI at 3T. Methods We perform simulations to evaluate the accuracy and precision of our crossing fiber IR-DWI signal model for various fiber parameters. The proposed sequence and signal model are tested in a phantom consisting of crossing asparagus pieces doped with gadolinium to vary T1 , and in 2 human subjects. Results Our simulations show that tract-specific T1 times can be estimated within 5% of the nominal fiber T1 values. Tract-specific T1 values were resolved in subvoxel 2 fiber crossings in the asparagus phantom. Tract-specific T1 times were resolved in 2 different tract crossings in the human brain where myelination differences have previously been reported; the crossing of the cingulum and genu of the corpus callosum and the crossing of the corticospinal tract and pontine fibers. Conclusion Whole-brain tract-specific T1 mapping is feasible using slice-shuffled IR-DWI at 3T. This technique has the potential to improve the microstructural characterization of specific tracts implicated in neurodevelopment, aging, and demyelinating disorders.
- Subjects :
- Accuracy and precision
Genu of the corpus callosum
computer.software_genre
Imaging phantom
030218 nuclear medicine & medical imaging
White matter
03 medical and health sciences
0302 clinical medicine
medicine.anatomical_structure
Voxel
Corticospinal tract
medicine
Cingulum (brain)
Radiology, Nuclear Medicine and imaging
computer
030217 neurology & neurosurgery
Biomedical engineering
Diffusion MRI
Mathematics
Subjects
Details
- ISSN :
- 15222594 and 07403194
- Volume :
- 86
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.doi...........e9417d47f29aeb9f3e196924948169a0
- Full Text :
- https://doi.org/10.1002/mrm.28734