Seed prioritized unwrapping (SPUN) for MR phase imaging

Ye, Yongquan; Zhou, Fei; Zong, Jinguang; Lyu, Jingyuan; Chen, Yanling; Zhang, Shuheng; Zhang, Weiguo; He, Qiang; Li, Xueping; Li, Ming; Zhang, Qinglei; Qing, Zhao; Zhang, Bing

doi:10.1002/jmri.26606

Cited by 7 publications

(6 citation statements)

References 29 publications

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“…To generate optimal vessel-tissue contrast for DMVs, we adopted a two-stage phase unwrapping procedure ( Ye et al, 2019 ) for SWI image reconstruction ( Haacke et al, 2015 ), to fully preserve the high spatial frequency information for small vessels visualization and to minimize remnant susceptibility artifacts. The SWI images of all echoes were then averaged ( Denk and Rauscher, 2010 ) to generate the final SWI images with improved SNR.…”

Section: Methodsmentioning

confidence: 99%

The Influence of Demographics and Vascular Risk Factors on Glymphatic Function Measured by Diffusion Along Perivascular Space

Zhang

et al. 2021

Front. Aging Neurosci.

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Assessing glymphatic function using in-vivo imaging method is of great value for understanding its contribution to major brain diseases. In the present study, we aim to validate the association between a variety of risk factors and a potential index of glymphatic function—Diffusion Tensor Image Analysis Along the Perivascular Space (ALPS index). We enrolled 142 subjects from communities and performed multi-modality magnetic resonance imaging scans. The ALPS index was calculated from diffusion tensor imaging data, and its associations with demographic factors, vascular factors were investigated using regression analyses. We found that the ALPS index was negatively associated with age (β = −0.284, p < 0.001). Compared to males, females had significantly higher ALPS index (β = −0.243, p = 0.001). Hypertensive subjects had significantly lower ALPS index compared to non-hypertensive subjects (β = −0.189, p = 0.013). Furthermore, venous disruption could decrease ALPS index (β = −0.215, p = 0.003). In general, our results are in consistent with previous conceptions and results from animal studies about the pathophysiology of glymphatic dysfunction. Future studies utilizing this method should consider introducing the above-mentioned factors as important covariates.

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Section: Methodsmentioning

confidence: 99%

The Influence of Demographics and Vascular Risk Factors on Glymphatic Function Measured by Diffusion Along Perivascular Space

Zhang

et al. 2021

Front. Aging Neurosci.

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“…The multi-echo GRE data were used for the QSM calculation. The B0 field map was extracted using the multidimensional integration method, unwrapped of aliased phases using seed prioritized unwrapping (SPUN) (Ye et al, 2019), and the background field was removed using vSHARP. QSM was obtained by solving the L1 regularization problem using the precondition conjugate gradient method (Bilgic et al, 2014), with an extra term for streaking artifact suppression (Li et al, 2015) and dynamic Bayesian regularization (De Rochefort et al, 2010).…”

Section: Qsm Image Processingmentioning

confidence: 99%

Nigral Iron Deposition Is Associated With Levodopa-Induced Dyskinesia in Parkinson’s Disease

Song

Mei

et al. 2021

Front. Neurosci.

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ObjectiveTo investigate iron deposition in the substantia nigra (SN) of Parkinson’s disease (PD) patients associated with levodopa-induced dyskinesia (LID).MethodsSeventeen PD patients with LID, 17 PD patients without LID, and 16 healthy controls were recruited for this study. The mean QSM values of the whole, left, and right SN were compared among the three groups. A multivariate logistic regression model was constructed to determine the factors associated with increased risk of LID. The receiver operating characteristic curve of the QSM value of SN in discriminating PD with and without LID was evaluated.ResultsThe mean QSM values of the whole and right SN in the PD with LID were higher than those in the PD without LID (∗P = 0.03, ∗P = 0.03). Multivariate logistic regression analysis revealed that the QSM value of whole, left, or right SN was a predictor of the development of LID (∗P = 0.03, ∗P = 0.04, and ∗P = 0.04). The predictive accuracy of LID in adding the QSM value of the whole, left, and right SN to LID-related clinical risk factors was 70.6, 64.7, and 67.6%, respectively. The QSM cutoff values between PD with and without LID of the whole, left, and right SN were 148.3, 165.4, and 152.7 ppb, respectively.ConclusionThis study provides the evidence of higher iron deposition in the SN of PD patients with LID than those without LID, suggesting that the QSM value of the SN may be a potential early diagnostic neuroimaging biomarker for LID.

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“…All other phase terms, including the constant baseline phase and coil sensitivity phases, are eliminated by the division. Then a seed prioritized phase unwrapping method 29 is used to generate an unwrapped phase difference map Δφ uw with precise phase values. The third step is to estimate the baseline phase φ 0 , calculated as the averaged remnant phase between the actual phase of each echo

φ (T E)

and its predicated phase Δφ uw ·TE/ΔTE:

φ_{0} = ∠ \bar{\sum_{i}^{N_{α}} \sum_{k}^{N_{2}} false(\frac{S_{2} ()(α_{i}, {italicTE}_{k}, C_{p})}{{false| normalS}_{2} ()(α_{i}, {italicTE}_{k}, C_{p}) false|} e^{‐ {normalΔ φ}_{uw} {TE}_{k} false/ normalΔ normalTE} false)} .

…”

Section: Methodsmentioning

confidence: 99%

MULTI‐parametric MR imaging with fLEXible design (MULTIPLEX)

Lyu

et al. 2021

Magnetic Resonance in Med

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Purpose To introduce a gradient echo (GRE) ‐based method, namely MULTIPLEX, for single‐scan 3D multi‐parametric MRI with high resolution, signal‐to‐noise ratio (SNR), accuracy, efficiency, and acquisition flexibility. Theory With a comprehensive design with dual‐repetition time (TR), dual flip angle (FA), multi‐echo, and optional flow modulation features, the MULTIPLEX signals contain information on radiofrequency (RF) B1t fields, proton density, T1, susceptibility and blood flows, facilitating multiple qualitative images and parametric maps. Methods MULTIPLEX was evaluated on system phantom and human brains, via visual inspection for image contrasts and quality or quantitative evaluation via simulation, phantom scans and literature comparison. Region‐of‐interest (ROI) analysis was performed on parametric maps of the system phantom and brain scans, extracting the mean and SD of the T1, normalT2∗, proton density (PD), and/or quantitative susceptibility mapping (QSM) values for comparison with reference values or literature. Results One MULTIPLEX scan offers multiple sets of images, including but not limited to: composited PDW/T1W/normalT2∗W, aT1W, SWI, MRA (optional), B1t map, T1 map, normalT2∗/normalR2∗ maps, PD map, and QSM. The quantitative error of phantom T1, normalT2∗ and PD mapping were <5%, and those in brain scans were in good agreement with literature. MULTIPLEX scan times for high resolution (0.68 × 0.68 × 2 mm3) whole brain coverage were about 7.5 min, while processing times were <1 min. With flow modulation, additional MRA images can be obtained without affecting the quality or accuracy of other images. Conclusion The proposed MUTLIPLEX method possesses great potential for multi‐parametric MR imaging.

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Seed prioritized unwrapping (SPUN) for MR phase imaging

Cited by 7 publications

References 29 publications

The Influence of Demographics and Vascular Risk Factors on Glymphatic Function Measured by Diffusion Along Perivascular Space

The Influence of Demographics and Vascular Risk Factors on Glymphatic Function Measured by Diffusion Along Perivascular Space

Nigral Iron Deposition Is Associated With Levodopa-Induced Dyskinesia in Parkinson’s Disease

MULTI‐parametric MR imaging with fLEXible design (MULTIPLEX)

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