Diffusional Kurtosis Imaging of the Developing Brain

Paydar, Amir; Fieremans, Els; Nwankwo, J.I.; Lazar, Mariana; Sheth, Hemant; Adisetiyo, Vitria; Helpern, Joseph A.; Jensen, Jens H.; Milla, Sarah Sarvis

doi:10.3174/ajnr.a3764

Cited by 78 publications

(100 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These results are consistent with a rapid increase in FA and MK measured in the early years of life (Paydar et al, 2014). The changes in intra-axonal water fraction and tortuosity likely result from active myelination, via the reduction of the extra-axonal space, and not from an increase in number of axons.…”

Section: Discussionsupporting

confidence: 90%

“…Changes in DTI and DKI metrics with age and development have been reported elsewhere on this pool of children (Paydar et al, 2014). Briefly, Figure 2 shows quantitative maps of DTI and DKI metrics in a 9 day old male and in a 323 day old male.…”

Section: Resultssupporting

confidence: 57%

“…Multiple DTI studies reported large non-linear increases in fractional anisotropy (FA), and decreases in diffusivities, respectively, during the first two years of life, consistent with the development and establishment of new axonal pathways and myelination of the fiber bundles; the expected asynchrony of maturation between different brain regions has also been observed using these metrics (Dubois et al, 2006; Hermoye et al, 2006; Mukherjee et al, 2002). Recently, the changes from birth up to 4.7 years were also documented with diffusional kurtosis imaging (DKI) (Paydar et al, 2014), a method which extends conventional DTI by estimating the kurtosis of the water diffusion displacement probability distribution (Jensen et al, 2005; Lu et al, 2006). This initial DKI study of development confirmed previous DTI reports, while highlighting that the patterns of change in mean kurtosis did not follow exactly those of FA, thus potentially complementing information from DTI metrics.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI?

et al. 2015

View full text Add to dashboard Cite

White matter microstructural changes during the first three years of healthy brain development are characterized using two different models developed for limited clinical diffusion data: White Matter Tract Integrity (WMTI) metrics from diffusional kurtosis imaging (DKI) and Neurite Orientation Dispersion and Density Imaging (NODDI). Both models reveal a non-linear increase in intra-axonal water fraction and in tortuosity of the extra-axonal space as a function of age, in the genu and splenium of corpus callosum and the posterior limb of the internal capsule. The changes are consistent with expected behavior related to myelination and asynchrony of fiber development. The intra- and extracellular axial diffusivities as estimated with WMTI do not change appreciably in normal brain development. The quantitative differences in parameter estimates between models are examined and explained in the light of each model’s assumptions and consequent biases, as highlighted in simulations. Finally, we discuss the feasibility of a model with fewer assumptions.

show abstract

Section: Discussionsupporting

confidence: 90%

Section: Resultssupporting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI?

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Indeed, in the same way as experiential values between 0.15 to 0.25 are used for the FA threshold, values between 0.7 and 0.8 for MK LHM can be recommended for a simplified application of the D-KIT in the whole brain of the middle-aged adults. In children [76] and eventually, in very elderly adults [4], MK values may depend on the age more strongly, therefore, more differentiated approach would be required. Alternative approaches to determine optimal low MK threshold can involve using percentile analysis of MK histograms.…”

Section: Discussionmentioning

confidence: 99%

Novel Diffusion-Kurtosis-Informed Template Reduces Distortions due to Partial Volume Effects and Improves Statistical between-Group Comparisons

Grinberg¹,

Farrher²,

Gao³

et al. 2017

J Alzheimers Dis Parkinsonism

View full text Add to dashboard Cite

“…To briefly summarize, studies have shown DKI to have potential in diagnostics of a number of diseases such as stroke [4,5], Alzheimer's disease [6], multiple sclerosis [7], gliomas [8,9], and head trauma [10][11][12] (see also the review of this area in Ostergaard et al [13]). DKI is not only of clinical interest but is also a valuable tool in basic neuroscience, and the method has for example been employed in studies of natural alteration of brain microstructure e.g., in the context of development and aging [14,15].…”

Section: Introductionmentioning

confidence: 99%

Recent Developments in Fast Kurtosis Imaging

Hansen

Jespersen

2017

Front. Phys.

View full text Add to dashboard Cite

Diffusion kurtosis imaging (DKI) is an extension of the popular diffusion tensor imaging (DTI) technique. DKI takes into account leading deviations from Gaussian diffusion stemming from a number of effects related to the microarchitecture and compartmentalization in biological tissues. DKI therefore offers increased sensitivity to subtle microstructural alterations over conventional diffusion imaging such as DTI, as has been demonstrated in numerous reports. For this reason, interest in routine clinical application of DKI is growing rapidly. In an effort to facilitate more widespread use of DKI, recent work by our group has focused on developing experimentally fast and robust estimates of DKI metrics. A significant increase in speed is made possible by a reduction in data demand achieved through rigorous analysis of the relation between the DKI signal and the kurtosis tensor based metrics. The fast DKI methods therefore need only 13 or 19 images for DKI parameter estimation compared to more than 60 for the most modest DKI protocols applied today. Closed form solutions also ensure rapid calculation of most DKI metrics. Some parameters can even be reconstructed in real time, which may be valuable in the clinic. The fast techniques are based on conventional diffusion sequences and are therefore easily implemented on almost any clinical system, in contrast to a range of other recently proposed advanced diffusion techniques. In addition to its general applicability, this also ensures that any acceleration achieved in conventional DKI through sequence or hardware optimization will also translate directly to fast DKI acquisitions. In this review, we recapitulate the theoretical basis for the fast kurtosis techniques and their relation to conventional DKI. We then discuss the currently available variants of the fast kurtosis techniques, their strengths and weaknesses, as well as their respective realms of application. These range from whole body applications to methods mostly suited for spinal cord or peripheral nerve, and analysis specific to brain white matter. Having covered these technical aspects, we proceed to review the fast kurtosis literature including validation studies, organ specific optimization studies and results from clinical applications.

show abstract

Diffusional Kurtosis Imaging of the Developing Brain

Cited by 78 publications

References 31 publications

One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI?

One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI?

Novel Diffusion-Kurtosis-Informed Template Reduces Distortions due to Partial Volume Effects and Improves Statistical between-Group Comparisons

Recent Developments in Fast Kurtosis Imaging

Contact Info

Product

Resources

About