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A time‐efficient acquisition protocol for multipurpose diffusion‐weighted microstructural imaging at 7 Tesla
- Source :
- Magnetic Resonance in Medicine. 78:2170-2184
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- Several diffusion-weighted MRI techniques have been developed and validated during the past 2 decades. While offering various neuroanatomical inferences, these techniques differ in their proposed optimal acquisition design, preventing clinicians and researchers benefiting from all potential inference methods, particularly when limited time is available. This study reports an optimal design that enables for a time-efficient diffusion-weighted MRI acquisition scheme at 7 Tesla. The primary audience of this article is the typical end user, interested in diffusion-weighted microstructural imaging at 7 Tesla.We tested b-values in the range of 700 to 3000 s/mmThe suggested design is a protocol with b-values of 1000 and 2500 s/mmWe estimated minimum acquisition requirements that enable diffusion tensor imaging, higher angular resolution diffusion-weighted imaging, neurite orientation dispersion, and density imaging and white matter tract integrity across whole brain with isotropic resolution of 1.8 mm in less than 11 min. Magn Reson Med 78:2170-2184, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
- Subjects :
- Adult
Male
Optimal design
Optics and Photonics
Computer science
Speech recognition
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Inference
030218 nuclear medicine & medical imaging
Young Adult
03 medical and health sciences
0302 clinical medicine
Image Processing, Computer-Assisted
Humans
Computer Simulation
Radiology, Nuclear Medicine and imaging
Computer vision
Diffusion (business)
Mri techniques
Acquisition Scheme
Brain Mapping
business.industry
Brain
Reproducibility of Results
Middle Aged
White Matter
Healthy Volunteers
Time efficient
Acquisition Protocol
Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging
Artificial intelligence
business
030217 neurology & neurosurgery
Diffusion MRI
Subjects
Details
- ISSN :
- 15222594 and 07403194
- Volume :
- 78
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.doi.dedup.....e9bbbbde8c3aa1b1dec529d8477a80f8
- Full Text :
- https://doi.org/10.1002/mrm.26608