Literature DB >> 19557743

High b-value apparent diffusion-weighted images from CURVE-ball DTI.

Sharon Peled1, Stephen Whalen, Ferenc A Jolesz, Alexandra J Golby.   

Abstract

PURPOSE: To investigate the utility of a proposed clinical diffusion imaging scheme for rapidly generating multiple b-value diffusion contrast in brain magnetic resonance imaging (MRI) with high signal-to-noise ratio (SNR).
MATERIALS AND METHODS: Our strategy for efficient image acquisition relies on the invariance property of the diffusion tensor eigenvectors to b-value. A simple addition to the conventional diffusion tensor MR imaging (DTI) data acquisition scheme used for tractography yields diffusion-weighted images at twice and three times the conventional b-value. An example from a neurosurgical brain tumor is shown. Apparent diffusion-weighted (ADW) images were calculated for b-values 800, 1600, and 2400 s/mm(2), and a map of excess diffusive kurtosis was computed from the three ADWs.
RESULTS: High b-value ADW images demonstrated decreased contrast between normal gray and white matter, while the heterogeneity and contrast of the lesion was emphasized relative to conventional b-value data. Kurtosis maps indicated the deviation from Gaussian diffusive behavior.
CONCLUSION: DTI data with multiple b-values and good SNR can be acquired in clinically reasonable times. High b-value ADW images show increased contrast and add information to conventional DWI. Ambiguity in conventional b-value images over whether hyperintense signal results from abnormally low diffusion, or abnormally long T(2), is better resolved in high b-value images. (c) 2009 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2009        PMID: 19557743      PMCID: PMC2728298          DOI: 10.1002/jmri.21808

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  19 in total

1.  High-b-value diffusion-weighted MR imaging of adult brain: image contrast and apparent diffusion coefficient map features.

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2.  Normal brain and brain tumor: multicomponent apparent diffusion coefficient line scan imaging.

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3.  Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo.

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4.  Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging.

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5.  Early detection of global cerebral anoxia: improved accuracy by high-b-value diffusion-weighted imaging with long echo time.

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7.  High b-value diffusion (b = 3000 s/mm2) MR imaging in cerebral gliomas at 3T: visual and quantitative comparisons with b = 1000 s/mm2.

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8.  Hybrid diffusion imaging.

Authors:  Yu-Chien Wu; Andrew L Alexander
Journal:  Neuroimage       Date:  2007-03-24       Impact factor: 6.556

9.  Predicting the histopathological grade of cerebral gliomas using high b value MR DW imaging at 3-tesla.

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  10 in total

1.  Effects of magnetic field strength and b value on the sensitivity and specificity of quantitative breast diffusion-weighted MRI.

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Review 2.  Diffusion imaging of brain tumors.

Authors:  Stephan E Maier; Yanping Sun; Robert V Mulkern
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Review 3.  MRI quantification of non-Gaussian water diffusion by kurtosis analysis.

Authors:  Jens H Jensen; Joseph A Helpern
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4.  Evaluation of optimized b-value sampling schemas for diffusion kurtosis imaging with an application to stroke patient data.

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Review 5.  Diffusion-weighted MRI as a biomarker for treatment response in glioma.

Authors:  Kathleen M Schmainda
Journal:  CNS Oncol       Date:  2012-11

6.  Magnetic resonance diffusion kurtosis imaging in differential diagnosis of benign and malignant renal tumors.

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7.  High B-value diffusion tensor imaging for early detection of hippocampal microstructural alteration in a mouse model of multiple sclerosis.

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Journal:  Sci Rep       Date:  2022-07-14       Impact factor: 4.996

8.  Increased gray matter diffusion anisotropy in patients with persistent post-concussive symptoms following mild traumatic brain injury.

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Journal:  PLoS One       Date:  2013-06-11       Impact factor: 3.240

9.  Parametric representation of multiple white matter fascicles from cube and sphere diffusion MRI.

Authors:  Benoit Scherrer; Simon K Warfield
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10.  Distribution of Cortical Diffusion Tensor Imaging Changes in Multiple Sclerosis.

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  10 in total

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