On the Reproducibility of Inversion Recovery Intravoxel Incoherent Motion Imaging in Cerebrovascular Disease

Wong, Sau May; Backes, Walter H.; Zhang, C. Eleana; Staals, Julie; Oostenbrugge, Robert J. van; Jeukens, Cécile R. L. P. N.; Jansen, Jacobus F. A.

doi:10.3174/ajnr.a5474

Cited by 11 publications

(6 citation statements)

References 26 publications

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“…A recent study by Liao et al found similar values (within 20%) for f and D * with their optimal model (however, again in younger participants of 38.3 ± 7.5 years), which resulted in relatively low D * values as well 51 . Our diffusion coefficients, D , in NAWM and GM agree well with results obtained by Hu et al (within 10%, but in younger participants) or Wong et al (within 5%, in elderly participants similar to our cohort) 52,53 . Our FA( D ) values in WM are compatible with age‐dependent reference values by Kochunov et al for participants with an average age of 77 years 54 .…”

Section: Discussionsupporting

confidence: 91%

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

et al. 2023

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The acquisition of intravoxel incoherent motion (IVIM) data and diffusion tensor imaging (DTI) data from the brain can be integrated into a single measurement, which offers the possibility to determine orientation‐dependent (tensorial) perfusion parameters in addition to established IVIM and DTI parameters. The purpose of this study was to evaluate the feasibility of such a protocol with a clinically feasible scan time below 6 min and to use a model‐selection approach to find a set of DTI and IVIM tensor parameters that most adequately describes the acquired data. Diffusion‐weighted images of the brain were acquired at 3 T in 20 elderly participants with cerebral small vessel disease using a multiband echoplanar imaging sequence with 15 b‐values between 0 and 1000 s/mm2 and six non‐collinear diffusion gradient directions for each b‐value. Seven different IVIM‐diffusion models with 4 to 14 parameters were implemented, which modeled diffusion and pseudo‐diffusion as scalar or tensor quantities. The models were compared with respect to their fitting performance based on the goodness of fit (sum of squared fit residuals, chi2) and their Akaike weights (calculated from the corrected Akaike information criterion). Lowest chi2 values were found using the model with the largest number of model parameters. However, significantly highest Akaike weights indicating the most appropriate models for the acquired data were found with a nine‐parameter IVIM–DTI model (with isotropic perfusion modeling) in normal‐appearing white matter (NAWM), and with an 11‐parameter model (IVIM–DTI with additional pseudo‐diffusion anisotropy) in white matter with hyperintensities (WMH) and in gray matter (GM). The latter model allowed for the additional calculation of the fractional anisotropy of the pseudo‐diffusion tensor (with a median value of 0.45 in NAWM, 0.23 in WMH, and 0.36 in GM), which is not accessible with the usually performed IVIM acquisitions based on three orthogonal diffusion‐gradient directions.

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Section: Discussionsupporting

confidence: 91%

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

et al. 2023

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“…In addition, image homogeneity is not necessarily identical with holding maximal physiological or has already been shown to decrease measurement variability in IVIM liver imaging (Lee et al, 2015). Also, cerebrospinal fluid (CSF), which also undergoes periodic pulsations driven by cardiac and respiratory forces, and participate in the IVIM signal through partial volume (Becker et al, 2018;Surer et al, 2018), could be suppressed using an inversion-recovery pulse (Kwong et al, 1991; S. M. Wong et al, 2018), or even better, a T2-prepared inversion pulse (Christian Federau & O'Brien, 2015), which permits a better recovery of blood signal with similar suppression of the CSF signal.…”

Section: Discussionmentioning

confidence: 99%

Signal to noise and b-value analysis for optimal intra-voxel incoherent motion imaging in the brain

Merisaari

Federau

2021

PLoS ONE

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Intravoxel incoherent motion (IVIM) is a method that can provide quantitative information about perfusion in the human body, in vivo, and without contrast agent. Unfortunately, the IVIM perfusion parameter maps are known to be relatively noisy in the brain, in particular for the pseudo-diffusion coefficient, which might hinder its potential broader use in clinical applications. Therefore, we studied the conditions to produce optimal IVIM perfusion images in the brain. IVIM imaging was performed on a 3-Tesla clinical system in four healthy volunteers, with 16 b values 0, 10, 20, 40, 80, 110, 140, 170, 200, 300, 400, 500, 600, 700, 800, 900 s/mm2, repeated 20 times. We analyzed the noise characteristics of the trace images as a function of b-value, and the homogeneity of the IVIM parameter maps across number of averages and sub-sets of the acquired b values. We found two peaks of noise of the trace images as function of b value, one due to thermal noise at high b-value, and one due to physiological noise at low b-value. The selection of b value distribution was found to have higher impact on the homogeneity of the IVIM parameter maps than the number of averages. Based on evaluations, we suggest an optimal b value acquisition scheme for a 12 min scan as 0 (7), 20 (4), 140 (19), 300 (9), 500 (19), 700 (1), 800 (4), 900 (1) s/mm2.

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“…Second, most of the reconstruction error occurred in the voxels in the presence of CSF. This CSF partial volume effect may affect the parametric model fitting 41,42 and cause inaccurate estimation of signal during data reconstruction. Nevertheless, the reconstruction error of the proposed framework related to the partial volume effect of CSF was still significantly lower than for SENSE reconstruction.…”

Section: Discussionmentioning

confidence: 99%

Highly accelerated multi‐shot intravoxel incoherent motion diffusion‐weighted imaging in brain enabled by parametric POCS‐based multiplexed sensitivity encoding

Chen,

Chu,

Liang

et al. 2023

NMR in Biomedicine

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Recently, intravoxel incoherent motion (IVIM) diffusion‐weighted imaging (DWI) has also been demonstrated as an imaging tool for applications in neurological and neurovascular diseases. However, the use of single‐shot diffusion‐weighted echo‐planar imaging for IVIM DWI acquisition leads to suboptimal data quality: for instance, geometric distortion and deteriorated image quality at high spatial resolution. Although the recently commercialized multi‐shot acquisition methods, such as multiplexed sensitivity encoding (MUSE), can attain high‐resolution and high‐quality DWI with signal‐to‐noise ratio (SNR) performance superior to that of the conventional parallel imaging method, the prolonged scan time associated with multi‐shot acquisition is impractical for routine IVIM DWI. This study proposes an acquisition and reconstruction framework based on parametric‐POCSMUSE to accelerate the four‐shot IVIM DWI with 70% reduction of total scan time (13 min 8 s versus 4 min 8 s). First, the four‐shot IVIM DWI scan with 17 b values was accelerated by acquiring only one segment per b value except for b values of 0 and 600 s/mm2. Second, an IVIM‐estimation scheme was integrated into the parametric‐POCSMUSE to enable joint reconstruction of multi‐b images from under‐sampled four‐shot IVIM DWI data. In vivo experiments on both healthy subjects and patients show that the proposed framework successfully produced multi‐b DW images with significantly higher SNRs and lower reconstruction errors than did the conventional acceleration method based on parallel imaging. In addition, the IVIM quantitative maps estimated from the data produced by the proposed framework showed quality comparable to that of fully sampled MUSE‐reconstructed images, suggesting that the proposed framework can enable highly accelerated multi‐shot IVIM DWI without sacrificing data quality. In summary, the proposed framework can make multi‐shot IVIM DWI feasible in a routine MRI examination, with reasonable scan time and improved geometric fidelity.

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On the Reproducibility of Inversion Recovery Intravoxel Incoherent Motion Imaging in Cerebrovascular Disease

Cited by 11 publications

References 26 publications

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

Signal to noise and b-value analysis for optimal intra-voxel incoherent motion imaging in the brain

Highly accelerated multi‐shot intravoxel incoherent motion diffusion‐weighted imaging in brain enabled by parametric POCS‐based multiplexed sensitivity encoding

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