Cross-term-compensated gradient waveform design for tensor-valued diffusion MRI
نویسندگان
چکیده
منابع مشابه
A normal distribution for tensor-valued random variables to analyze diffusion tensor MRI data
Diffusion Tensor MRI (DT-MRI) provides a statistical estimate of a symmetric 2 nd -order diffusion tensor, D, for each voxel within an imaging volume. We propose a new normal distribution, p(D) ~ exp(1/2 D:A:D), for a tensor random variable, D. The scalar invariant, D:A:D, is the contraction of a positive definite symmetric 4 th -order precision tensor, A , and D. A formal correspondence is est...
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Diffusion Tensor Magnetic Resonance Imaging (DT-MRI or DTI) is emerging as an important technology for elucidating the internal structure of the brain and for diagnosing conditions affecting the integrity of nervous tissue. DTI measurements of the brain exploit the fact that the network of fibers has a characteristic microstructure that constrains the diffusion of water molecules within it. The...
متن کاملDiffusion Tensor MRI Visualization
Diffusion Tensor Magnetic Resonance Imaging (DT-MRI or DTI) is emerging as an important technology for elucidating the internal structure of the brain and for diagnosing conditions affecting the integrity of nervous tissue. DTI measurements of the brain exploit the fact that the network of fibers has a characteristic microstructure that constrains the diffusion of water molecules within it. The...
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Diffusion Tensor Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs postprocessing by adequate image analysis and visualization tools. Whereas such tools have been developed at various research centers to drive methodological and clinical research, they have not b...
متن کاملLinear Invariant Tensor Interpolation Applied to Cardiac Diffusion Tensor MRI
PURPOSE Various methods exist for interpolating diffusion tensor fields, but none of them linearly interpolate tensor shape attributes. Linear interpolation is expected not to introduce spurious changes in tensor shape. METHODS Herein we define a new linear invariant (LI) tensor interpolation method that linearly interpolates components of tensor shape (tensor invariants) and recapitulates th...
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ژورنال
عنوان ژورنال: Journal of Magnetic Resonance
سال: 2021
ISSN: 1090-7807
DOI: 10.1016/j.jmr.2021.106991