Diffusional kurtosis imaging: The quantification of non‐gaussian water diffusion by means of magnetic resonance imaging

@article{Jensen2005DiffusionalKI,
  title={Diffusional kurtosis imaging: The quantification of non‐gaussian water diffusion by means of magnetic resonance imaging},
  author={J. Jensen and J. Helpern and A. Ramani and Hanzhang Lu and K. Kaczynski},
  journal={Magnetic Resonance in Medicine},
  year={2005},
  volume={53}
}
A magnetic resonance imaging method is presented for quantifying the degree to which water diffusion in biologic tissues is non‐Gaussian. Since tissue structure is responsible for the deviation of water diffusion from the Gaussian behavior typically observed in homogeneous solutions, this method provides a specific measure of tissue structure, such as cellular compartments and membranes. The method is an extension of conventional diffusion‐weighted imaging that requires the use of somewhat… Expand
Three‐dimensional characterization of non‐gaussian water diffusion in humans using diffusion kurtosis imaging
TLDR
This work proposes an approach to directly measure the non‐Gaussian property of water diffusion, characterized by a four‐dimensional matrix referred to as the diffusion kurtosis tensor, and shows tissue‐specific geometry for different brain regions and the potential of identifying multiple fiber structures in a single voxel. Expand
MRI quantification of non‐Gaussian water diffusion by kurtosis analysis
TLDR
It is argued that the diffusional kurtosis is sensitive to diffusional heterogeneity and suggested that DKI may be useful for investigating ischemic stroke and neuropathologies, such as Alzheimer's disease and schizophrenia. Expand
MR diffusion kurtosis imaging for neural tissue characterization
TLDR
It is demonstrated that DKI offers a more comprehensive approach than DTI in describing the complex water diffusion process in vivo by estimating both diffusivity and kurtosis, which may provide improved sensitivity and specificity in MR diffusion characterization of neural tissues. Expand
Characterization of White and Gray Matters in healthy brain: An in-vivo Diffusion Kurtosis Imaging study
  • Rajikha Raja, N. Sinha, J. Saini
  • Physics
  • 2014 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
  • 2014
The extensions of diffusion weighted magnetic resonance imaging (DW-MRI) technique such as Diffusion Tensor Imaging (DTI) and Diffusion Kurtosis Imaging (DKI) are useful in understanding the complexExpand
White matter characterization with diffusional kurtosis imaging
TLDR
A physically meaningful interpretation of DKI metrics in white matter regions consisting of more or less parallel aligned fiber bundles is provided by modeling the tissue as two non-exchanging compartments, the intra-axonal space and extra-AXonal space. Expand
More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging
TLDR
The diffusion kurtosis imaging model provides a b‐value‐independent estimation of the widely used diffusion tensor parameters as demonstrated with diffusion‐weighted rat data, which was acquired with eight different b‐values, uniformly distributed in a range of [0,2800 sec/mm2]. Expand
Brain MR kurtosis imaging study: Contrasting gray and white matter
TLDR
There is a significant variation in the correlation results between Axial Diffusion and Kurtosis Fractional Anisotropy maps of Gray matter and White matter tissues, which can be employed for enhancing accuracy in MRI segmentation techniques and also as a potential tool for Neuro degenerative disease detection. Expand
Whole-Body Diffusion Kurtosis Imaging: Initial Experience on Non-Gaussian Diffusion in Various Organs
TLDR
Whole-body DKI is technically feasible and may reflect tissue microstructure more meaningfully than whole-body DWI, andCurves of DKI fitted the measurement points significantly better than DWI curves did in most organs. Expand
Models of diffusion signal decay in magnetic resonance imaging: Capturing complexity
Diffusion-weighted MRI is a key diagnostic component of clinical medicine. Radiologists use models of the effects of diffusion weighting to connect the decay of the signal intensity in tissues withExpand
Diffusion-Weighted MR imaging: Clinical applications of kurtosis analysis to prostate cancer
Magnetic resonance imaging technique known as DWI (diffusion-weighted imaging) allows measurement of water diffusivity on a pixel basis for evaluating pathology throughout the body and is nowExpand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 17 REFERENCES
Quantifying Non-Gaussian Water Diffusion by Means of Pulsed-Field-Gradient MRI
J. H. Jensen, J. A. Helpern New York University School of Medicine, New York, New York, United States SYNOPSIS The extent to which water transport in a tissue deviates from homogeneous, GaussianExpand
Statistical model for diffusion attenuated MR signal
TLDR
It is shown that at least two parameters—the position of distribution maxima (ADC) and the distribution width (σ)—are needed to describe the MR signal in most regions of a human brain. Expand
Characterizing non‐gaussian diffusion by using generalized diffusion tensors
TLDR
The generalized diffusion tensor formalism is capable of accurately resolving the underlying spin displacement for complex geometrical structures, of which neither conventional DTI nor diffusion‐weighted imaging at high angular resolution (HARD) is capable. Expand
Basic principles of diffusion-weighted imaging.
  • R. Bammer
  • Medicine
  • European journal of radiology
  • 2003
TLDR
An introduction into the basics of DWI and Diffusion Tensor imaging is provided and the potential of various MR sequences in concert with diffusion preparation are discussed with respect to acquisition speed, spatial resolution, and sensitivity to bulk physiologic motion. Expand
High b‐value q‐space analyzed diffusion‐weighted MRS and MRI in neuronal tissues – a technical review
TLDR
The utility of analyzing high b‐value diffusion MRS and MRI data using the q‐space approach, found to be very sensitive to the disease load in MS, compared with other conventional MRI methods, especially in the normal appearing white matter of MS brains. Expand
Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo
TLDR
This work presents an improvement on the spin‐echo (SE) diffusion sequence that displays less distortion and consequently improves image quality, and allows more flexible diffusion gradient timing. Expand
Clinical applications of diffusion tensor imaging
TLDR
The clinical utility of diffusion tensor imaging is described, including the basic principles of the technique, acquisition, data analysis, and the major clinical applications. Expand
Visualisation of displacement-distribution parameters in q-space imaging
, for determination of ADCfast and ADCslow, respectively The inverse Fourier transform of the signal vs. q-value curve gives the average propagator which is a distribution that describes theExpand
A Phantom for diffusion‐weighted imaging of acute stroke
TLDR
A tissue phantom for diffusion‐weighted imaging was developed, basing its contrast between two compartments on different apparent diffusion coefficients, without contrast due to T2 relaxation and proton density, to simulate the situation found in normal gray matter and areas of acute ischemia. Expand
Weak-Diffusion Theory of NMR Signal in Magnetically Heterogeneous Media
Abstract A general theory is developed for the effect of molecular diffusion on the NMR signal obtained from magnetically heterogeneous media in the limit of weak diffusion. The theory is based on aExpand
...
1
2
...