Three-dimensional black-blood T 2 mapping with compressed sensing and data-driven parallel imaging in the carotid artery

Yuan, Jianmin; Usman, Ammara; Reid, Scott A.; King, Kevin F.; Patterson, Andrew J.; Gillard, Jonathan H.; Graves, Martin J.

doi:10.1016/j.mri.2016.11.014

Cited by 22 publications

(21 citation statements)

References 40 publications

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“…Makhijani et al used a hidden Markov tree model based compressing method for carotid plaque imaging using a diffusion prepared gradient echo sequence (MERGE), and found that a 4.5-fold acceleration achieved imaging quality comparable to a fully sampled reference in 6 patients with carotid diseases [16], which is comparable with the optimized acceleration factor in this study (fivefold). Yuan et al investigated a compressed sensing based 3D multi-contrast fast-spin-echo imaging of the carotid plaque in 12 volunteers and 8 patients [18]. The sequence they used (CUBE) is comparable with the sequence in this study (SPACE).…”

Section: Discussionmentioning

confidence: 91%

“…Previous compressed sensing vessel wall studies have focused on carotid plaque imaging, including plaque morphology imaging using 3D gradient echo sequences with black blood preparation [16] or 3D fast spin echo sequences (CUBE) [20] and T2 mapping [18]. Makhijani et al used a hidden Markov tree model based compressing method for carotid plaque imaging using a diffusion prepared gradient echo sequence (MERGE), and found that a 4.5-fold acceleration achieved imaging quality comparable to a fully sampled reference in 6 patients with carotid diseases [16], which is comparable with the optimized acceleration factor in this study (fivefold).…”

Section: Discussionmentioning

confidence: 99%

“…CS has been used to accelerate black blood extracranial T1 weighted carotid plaque imaging using 3D gradient echo sequences [16, 17], and also for the T2 mapping of the carotid plaque using a 3D fast-spin-echo (CUBE) technique [18]. The combination of CS and PI has also been used in different clinical applications, including the breast [19], carotid plaque [20], abdomen [21] and musculoskeletal disorders [22, 23].…”

Section: Introductionmentioning

confidence: 99%

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Accelerated whole brain intracranial vessel wall imaging using black blood fast spin echo with compressed sensing (CS-SPACE)

Zhu

Tian

Chen

et al. 2017

Magn Reson Mater Phy

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Objective Develop and optimize an accelerated, high-resolution (0.5 mm isotropic) 3D black blood MRI technique to reduce scan time for whole-brain intracranial vessel wall imaging. Materials and methods A 3D accelerated T1-weighted fast-spin-echo prototype sequence using compressed sensing (CS-SPACE) was developed at 3T. Both the acquisition [echo train length (ETL), under-sampling factor] and reconstruction parameters (regularization parameter, number of iterations) were first optimized in 5 healthy volunteers. Ten patients with a variety of intracranial vascular disease presentations (aneurysm, atherosclerosis, dissection, vasculitis) were imaged with SPACE and optimized CS-SPACE, pre and post Gd contrast. Lumen/wall area, wall-to-lumen contrast ratio (CR), enhancement ratio (ER), sharpness, and qualitative scores (1–4) by two radiologists were recorded. Results The optimized CS-SPACE protocol has ETL 60, 20% k-space under-sampling, 0.002 regularization factor with 20 iterations. In patient studies, CS-SPACE and conventional SPACE had comparable image scores both pre- (3.35 ± 0.85 vs. 3.54 ± 0.65, p = 0.13) and post-contrast (3.72 ± 0.58 vs. 3.53 ± 0.57, p = 0.15), but the CS-SPACE acquisition was 37% faster (6:48 vs. 10:50). CS-SPACE agreed with SPACE for lumen/wall area, ER measurements and sharpness, but marginally reduced the CR. Conclusion In the evaluation of intracranial vascular disease, CS-SPACE provides a substantial reduction in scan time compared to conventional T1-weighted SPACE while maintaining good image quality.

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Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accelerated whole brain intracranial vessel wall imaging using black blood fast spin echo with compressed sensing (CS-SPACE)

Zhu

Tian

Chen

et al. 2017

Magn Reson Mater Phy

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“…In this work, motion detection with reconstruction of corrupted data was developed for the conventional Cartesian MESE acquisition, but further modifications to the acquisition offer interesting possibilities. Compressed sensing could be applied to modified k‐space trajectories, for example, radial sampling, that could be intrinsically more robust to motion . Using randomized phase‐encoding within an echo train could allow T 2 mapping from undersampled data .…”

Section: Discussionmentioning

confidence: 99%

Navigator‐based reacquisition and estimation of motion‐corrupted data: Application to multi‐echo spin echo for carotid wall MRI

Frost

Biasiolli

et al. 2019

Magnetic Resonance in Med

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Purpose To assess whether artifacts in multi‐slice multi‐echo spin echo neck imaging, thought to be caused by brief motion events such as swallowing, can be corrected by reacquiring corrupted central k‐space data and estimating the remainder with parallel imaging. Methods A single phase‐encode line (ky = 0, phase‐encode direction anteroposterior) navigator echo was used to identify motion‐corrupted data and guide the online reacquisition. If motion corruption was detected in the 7 central k‐space lines, they were replaced with reacquired data. Subsequently, GRAPPA reconstruction was trained on the updated central portion of k‐space and then used to estimate the remaining motion‐corrupted k‐space data from surrounding uncorrupted data. Similar compressed sensing‐based approaches have been used previously to compensate for respiration in cardiac imaging. The g‐factor noise amplification was calculated for the parallel imaging reconstruction of data acquired with a 10‐channel neck coil. The method was assessed in scans with 9 volunteers and 12 patients. Results The g‐factor analysis showed that GRAPPA reconstruction of 2 adjacent motion‐corrupted lines causes high noise amplification; therefore, the number of 2‐line estimations should be limited. In volunteer scans, median ghosting reduction of 24% was achieved with 2 adjacent motion‐corrupted lines correction, and image quality was improved in 2 patient scans that had motion corruption close to the center of k‐space. Conclusion Motion‐corrupted echo‐trains can be identified with a navigator echo. Combined reacquisition and parallel imaging estimation reduced motion artifacts in multi‐slice MESE when there were brief motion events, especially when motion corruption was close to the center of k‐space.

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“…A small number of studies have featured CS in the evaluation of carotid VWI [17][18][19][20], but the numbers of subjects in those preliminary papers were around 10 patients, and results were not conclusive. The purpose of this study was to compare the visualization of plaques and vessel walls of the internal carotid artery (ICA) between 3D T1-FSE imaging with conventional SPACE and with a prototype CS-SPACE in a larger number of cases.…”

Section: Sensing T1-space Introductionmentioning

confidence: 99%

Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE

et al. 2018

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SPACE allowed better visualization compared with T1-SPACE in evaluating carotid plaques and vessel walls with a 2.5-fold accelerated scan time with comparable image quality. 2. CS-T1-SPACE offers a promising method for investigating carotid vessel walls due to the better image quality with shorter acquisition time. 3. Physiological movements such as swallowing, arterial pulsations, and breathing induce motion artifacts in vessel wall imaging, and a shorter acquisition time can reduce artifacts from physiological movements.

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Three-dimensional black-blood T 2 mapping with compressed sensing and data-driven parallel imaging in the carotid artery

Abstract: This study demonstrates the feasibility of combining CS and PI for accelerating 3D T mapping in the carotid artery, with accurate T measurements and good repeatability.

Cited by 22 publications

References 40 publications

Accelerated whole brain intracranial vessel wall imaging using black blood fast spin echo with compressed sensing (CS-SPACE)

Accelerated whole brain intracranial vessel wall imaging using black blood fast spin echo with compressed sensing (CS-SPACE)

Navigator‐based reacquisition and estimation of motion‐corrupted data: Application to multi‐echo spin echo for carotid wall MRI

Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE

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