Highly accelerated intracranial 4D flow MRI: evaluation of healthy volunteers and patients with intracranial aneurysms

Liu, Jing; Koskas, Louise; Faraji, Farshid; Kao, Evan; Wang, Yan; Haraldsson, Henrik; Kefayati, Sarah; Zhu, Chengcheng; Ahn, Sinyeob; Laub, Gerhard; Saloner, David

doi:10.1007/s10334-017-0646-8

Cited by 33 publications

(29 citation statements)

References 49 publications

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“…Although the CS technique has been widely used clinically, only a few studies explored its image quality with comparison of conventional techniques . Our study had a fair amount of samples enrolled, and showed that the image quality of CS‐MRA was preferable than those of Con‐MRA.…”

Section: Discussionmentioning

confidence: 85%

“…Previous studies have demonstrated the feasibility of MRA with CS techniques in a small‐scale number of subjects . Most of the existing literature on the clinical use of CS is exploratory, mostly evaluating image quality.…”

mentioning

confidence: 99%

“…Previous studies have demonstrated the feasibility of MRA with CS techniques in a small-scale number of subjects. [14][15][16]20 Most of the existing literature on the clinical use of CS is exploratory, mostly evaluating image quality. Therefore, this study tried to evaluate the clinical feasibility on the diagnostic efficacy of 3D intracranial MRA using a compressed sensing algorithm (CS-MRA) in comparison with conventional 3D intracranial MRA (Con-MRA).…”

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confidence: 99%

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Clinical feasibility study of 3D intracranial magnetic resonance angiography using compressed sensing

Lin

Zhang

Guo

et al. 2019

Magnetic Resonance Imaging

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Background Compressed sensing (CS) has been widely used to improve the speed of MRI, but the feasibility of application in 3D intracranial MR angiography (MRA) needs to be evaluated in clinical practice. Purpose To evaluate the clinical feasibility of CS‐MRA in comparison with conventional 3D‐MRA (Con‐MRA). Study Type Retrospective. Subjects Forty‐nine consecutive patients with suspected intracranial arterial disease. Field Strength/Sequence 3T MRI. 3D time‐of‐flight (TOF) MRA using a CS algorithm and conventional 3D TOF MRA scan. Assessment Three radiologists (4, 11, and 12 years of experience in neuroradiology) independently assessed the image quality, vascular lesions, and variations of intracranial arteries of both CS‐MRA and Con‐MRA, respectively. Statistical Tests The Kendall W test was performed to assess the interobserver agreement of image quality and intracranial arterial stenosis. A nonparametric test (Wilcoxon test) was used for comparison of the image quality and definition of the external carotid artery (ECA). Weighted kappa analysis was performed for the interstudy agreement of intracranial arterial stenosis. The aneurysm, decreased branches, congenital hypoplasia, absence, and variant branching of intracranial arteries were observed and evaluated for interobserver agreement and interstudy agreement by kappa analysis. Paired‐t‐tests for signal‐to‐noise ratio (SNR) and contrast‐to‐noise ratio (CNR) were conducted. Results Image quality is better for CS‐MRA compared with Con‐MRA with significance (Z = –3.710 to –2.673, with P < 0.01). The interstudy agreement of lesion and variation of intracranial arteries assessment for each observer was excellent. The SNR and CNR were significantly higher in CS‐MRA compared with Con‐MRA (P < 0.001). The definition of ECA of CS‐MRA was significantly better (Z = –4.9, P < 0.001). Data Conclusion CS‐MRA showed significantly higher image quality with less blur, comparable image diagnostic performance of intracranial arteries, and better display of ECA than Con‐MRA. Level of Evidence: 3 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2019;50:1843–1851.

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Section: Discussionmentioning

confidence: 85%

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confidence: 99%

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confidence: 99%

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Clinical feasibility study of 3D intracranial magnetic resonance angiography using compressed sensing

Lin

Zhang

Guo

et al. 2019

Magnetic Resonance Imaging

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“…CS reconstructions with subspace constraint based on PCA or equivalently low rank constraint also exist, but these were not used in this study. For CS on the other hand, studies showed that acceleration higher than a factor of 8 is feasible . Ma et al showed peak flow differences to conventional 4D flow (GRAPPA R = 2) of −12.6% (AAo) and − 3.2% (DAo) for CS accelerated 4D flow MRI by a factor of R = 12.8.…”

Section: Discussionmentioning

confidence: 99%

Pseudo‐spiral sampling and compressed sensing reconstruction provides flexibility of temporal resolution in accelerated aortic 4D flow MRI: A comparison with k‐t principal component analysis

et al. 2020

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Introduction Time‐resolved three‐dimensional phase contrast MRI (4D flow) of aortic blood flow requires acceleration to reduce scan time. Two established techniques for highly accelerated 4D flow MRI are k‐t principal component analysis (k‐t PCA) and compressed sensing (CS), which employ either regular or random k‐space undersampling. The goal of this study was to gain insights into the quantitative differences between k‐t PCA‐ and CS‐derived aortic blood flow, especially for high temporal resolution CS 4D flow MRI. Methods The scan protocol consisted of both k‐t PCA and CS accelerated 4D flow MRI, as well as a 2D flow reference scan through the ascending aorta acquired in 15 subjects. 4D flow scans were accelerated with factor R = 8. For CS accelerated scans, we used a pseudo‐spiral Cartesian sampling scheme, which could additionally be reconstructed at higher temporal resolution, resulting in R = 13. 4D flow data were compared with the 2D flow scan in terms of flow, peak flow and stroke volume. A 3D peak systolic voxel‐wise velocity and wall shear stress (WSS) comparison between k‐t PCA and CS 4D flow was also performed. Results The mean difference in flow/peak flow/stroke volume between the 2D flow scan and the 4D flow CS with R = 8 and R = 13 was 4.2%/9.1%/3.0% and 5.3%/7.1%/1.9%, respectively, whereas for k‐t PCA with R = 8 the difference was 9.7%/25.8%/10.4%. In the voxel‐by‐voxel 4D flow comparison we found 13.6% and 3.5% lower velocity and WSS values of k‐t PCA compared with CS with R = 8, and 15.9% and 5.5% lower velocity and WSS values of k‐t PCA compared with CS with R = 13. Conclusion Pseudo‐spiral accelerated 4D flow acquisitions in combination with CS reconstruction provides a flexible choice of temporal resolution. We showed that our proposed strategy achieves better agreement in flow values with 2D reference scans compared with using k‐t PCA accelerated acquisitions.

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“…Free-breathing cardiac MRI techniques improve patients’ comfort during the scan and enable image acquisition that is not constrained by the length of the breath-hold permitting more advantageous MRI parameter settings. Free-breathing 4D (3D+t) cardiac imaging has been demonstrated to be promising for evaluating cardiac function 11,40,42,44,72 .…”

Section: Introductionmentioning

confidence: 99%

Fully automatic segmentation of 4D MRI for cardiac functional measurements

et al. 2018

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Purpose: Segmentation of cardiac medical images, an important step in measuring cardiac function, is usually performed either manually or semi-automatically. Fully automatic segmentation of the left ventricle (LV), the right ventricle (RV) as well as the myocardium of 3D magnetic resonance (MR) images throughout the entire cardiac cycle (4D), remains challenging. This study proposes a deformable-based segmentation methodology for efficiently segmenting 4D (3D+t) cardiac MR images. Methods: The proposed methodology first used the Hough transform and the local Gaussian distribution method (LGD) to segment the LV endocardial contours from cardiac MR images. Following that a novel level set-based shape prior method was applied to generate the LV epicardial contours and the RV boundary. Results: This automatic image segmentation approach has been applied to studies on 17 subjects. The results demonstrated that the proposed method was efficient compared to manual segmentation, achieving a segmentation accuracy with average Dice values of 88.62±5.47%, 87.35±7.26%, and 82.63±6.22% for the LV endocardial, LV epicardial and RV contours, respectively. Conclusions: We have presented a method for accurate LV and RV segmentation. Compared to three existing methods, the proposed method can successfully segment the LV and yields the highest Dice value. This makes it an option for clinical assessment of the volume, size and thickness of the ventricles.

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Highly accelerated intracranial 4D flow MRI: evaluation of healthy volunteers and patients with intracranial aneurysms

Cited by 33 publications

References 49 publications

Clinical feasibility study of 3D intracranial magnetic resonance angiography using compressed sensing

Clinical feasibility study of 3D intracranial magnetic resonance angiography using compressed sensing

Pseudo‐spiral sampling and compressed sensing reconstruction provides flexibility of temporal resolution in accelerated aortic 4D flow MRI: A comparison with k‐t principal component analysis

Fully automatic segmentation of 4D MRI for cardiac functional measurements

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