2014
DOI: 10.1002/mrm.25308
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New insight into the contrast in diffusional kurtosis images: Does it depend on magnetic susceptibility?

Abstract: Our results suggests a concomitant and complementary existence of multi-compartmentalized diffusion process and Δχ (H2O-TISSUE) in DKI contrast that might explain why kurtosis contrast is more sensitive than DTI in discriminating between different tissues. However, more realistic numerical simulations are needed to confirm this statement.

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Cited by 16 publications
(15 citation statements)
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References 52 publications
(75 reference statements)
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“…These distortions, i.e., magnetic field gradients, depend on the difference in magnetic susceptibility, Δ χ = χ 2 - χ 1 , as well as on the geometric configuration of the media (curvature radii, interface orientation relative to the magnetic field, etc.). Thus, microscopic, susceptibility-induced magnetic field gradients (further on referred to as background gradients) are ubiquitous in NMR and MRI experiments involving magnetically heterogeneous media such as, among others, porous materials [2325] and biological tissues [2629]. In particular, background gradients appear as a common feature in anisotropic diffusion phantoms where the magnetic susceptibility of the diffusing liquid is a priori different from that of the diffusion-restricting material [4,20,21,30].…”
Section: Introductionmentioning
confidence: 99%
“…These distortions, i.e., magnetic field gradients, depend on the difference in magnetic susceptibility, Δ χ = χ 2 - χ 1 , as well as on the geometric configuration of the media (curvature radii, interface orientation relative to the magnetic field, etc.). Thus, microscopic, susceptibility-induced magnetic field gradients (further on referred to as background gradients) are ubiquitous in NMR and MRI experiments involving magnetically heterogeneous media such as, among others, porous materials [2325] and biological tissues [2629]. In particular, background gradients appear as a common feature in anisotropic diffusion phantoms where the magnetic susceptibility of the diffusing liquid is a priori different from that of the diffusion-restricting material [4,20,21,30].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, there was no comparability of the D app values obtained by the two different HP gases. In contrast, the K app was regarded as a measurement of the variability and intricacy of the tissue structure , and it probably had little relation to the magnitude of the intrinsic HP gas diffusivity. Therefore, due to the more limited pulmonary airspace in rats than in humans, the K app values in the control rats in our study with HP xenon (1.1823 ± 0.0603) were much larger than those in the healthy subjects (0.3430 ± 0.0290) in a previous study of helium pulmonary DKI .…”
Section: Discussionmentioning
confidence: 99%
“…The corresponding imaging parameters were as follows: field of view ¼ 5 Â 5 cm; matrix size ¼ 96 Â 96; echo time ¼ 3.842 ms; pulse repetition time ¼ 9.904 ms; bandwidth ¼ 50 kHz; and a flip angle of 9.5 . The second part, the experiment used DKI with 14 b values (4,8,12,16,20,24,28,32,40,48,56,64, 72, and 80 s/cm 2 ) to study the critical b values in two healthy rats. Due to the limitations of the maximum gradient strength, the diffusion time D increased to 2.5 ms to achieve the maximum b value of 80 s/cm 2 , whereas to ensure the images' signal-to-noise ratio (SNR), the matrix was decreased to 48 Â 48.…”
Section: Mrimentioning
confidence: 99%
“…Such studies have been carried out for experimental stroke [5,90], stress and depression [60,91], and kidney fibrosis [62] to name a few. Furthermore, studies have been performed to elucidate the relation between DKI metrics and tissue magnetic susceptibility [92,93] with results suggesting a susceptibility contribution in DKI metrics warranting further investigation. Similarly, studies have been performed to optimize diffusion sampling schemes for DKI [3] and to assess the DKI metric reproducibility across field strengths [94].…”
Section: Future Directions For the Fast Kurtosis Techniquesmentioning
confidence: 99%