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Related Concept Videos

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Assessment of Diffusion and Perfusion

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Related Experiment Video

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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
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Published on: August 14, 2019

Effects of diffusional kurtosis imaging parameters on diffusion quantification.

Issei Fukunaga1, Masaaki Hori, Yoshitaka Masutani

  • 1Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashiogu, Arakawa, Tokyo 116-8551, Japan. ifukuna@juntendo.ac.jp

Radiological Physics and Technology
|March 29, 2013
PubMed
Summary
This summary is machine-generated.

Faster diffutional kurtosis imaging (DKI) protocols were developed. Optimized parameters, including specific b values, motion-probing gradient directions, and diffusion times, significantly reduce scan time for clinical applications.

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Area of Science:

  • Magnetic Resonance Imaging
  • Diffusion Tensor Imaging Analysis

Background:

  • Diffusional kurtosis imaging (DKI) analyzes non-Gaussian water diffusion but original protocols are too time-consuming for routine clinical use.
  • Optimizing DKI parameters is crucial for enhancing its clinical applicability.

Purpose of the Study:

  • To identify optimal b value, motion-probing gradient (MPG) direction, and diffusion time settings for accelerated DKI acquisition.
  • To evaluate the impact of these parameters on the reliability and diagnostic value of DKI measurements.

Main Methods:

  • Acquired DKI data from four healthy subjects using a 3T-MRI scanner with varied b values (0-7500 s/mm²), MPG directions (6-32), and diffusion times (23-80 ms).
  • Analyzed the standard deviation (SD) of mean DKI values across different parameter settings, focusing on specific brain regions like the posterior limb of the internal capsule and thalamus, as well as cerebrospinal fluid (CSF).

Main Results:

  • A higher number of MPG directions generally increased the SD of mean DKI values.
  • Longer diffusion times led to significantly lower mean DKI values in CSF (p = 0.001, r = -0.976) and higher values in the posterior limb of the internal capsule (p = 0.003, r = 0.924) and thalamus (p = 0.005, r = 0.903).
  • The SD of mean DKI values was higher with 15 MPG directions compared to 20 or more directions.

Conclusions:

  • Longer diffusion times appear beneficial for DKI analysis, particularly for differentiating tissues like CSF.
  • Optimized parameters for faster DKI include b values of 0, 1000, and 2000 s/mm², 20 MPG directions, and a diffusion time (Δ/δ) of 45.3/13.3 ms.
  • These proposed parameters facilitate efficient and reliable DKI acquisition for clinical settings.