Abstract TP219: Eight-minute Whole-brain Intracranial Vessel Wall MRI at 3 Tesla: Toward a Practical Imaging Protocol for Diagnosis of Stroke Etiology

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Zhaoyang Fan ◽  
Qi Yang ◽  
Shlee Song ◽  
Xiuhai Guo ◽  
Zixin Deng ◽  
...  
Keyword(s):  
Pilot Study ◽  
Healthy Subjects ◽  
Vessel Wall ◽  
3 Tesla ◽  
Whole Brain ◽  
Imaging Protocol ◽  
Stroke Etiology ◽  
Intracranial Vessel ◽  
Scan Time ◽  
T1 And T2

Introduction: T1-weighted variable-flip-angle 3D turbo spin-echo (TSE), has emerged as a vessel wall MRI technique promising for elucidating underlying intracranial vessel wall pathologies associated with stroke. Whole-brain 0.5-mm isotropic-resolution 3D TSE has recently been proposed at 3 Tesla. However, its scan time of 12 min renders it impractical for a clinical setting. This work aimed to design an expedited protocol and conduct a pilot study to demonstrate its potential for diagnosis of wall abnormalities. Methods: To expedite the acquisition, one may exploit an elliptical data sampling strategy and prolonged echo train length (ETL). However, this would reduce image SNR and compromise vessel wall delineation. On the other hand, SNR is intimately related to refocusing flip angles that are calculated for a prescribed tissue with specific T1 and T2 values (denoted as simulation T1 and T2). In this work, the effects of simulation T2 and ETL on the SNR/CNR performance were first explored on 9 healthy subjects. An optimized imaging protocol was then determined from a narrowed range of choices on 7 healthy subjects and finally applied to a pilot study of 10 patients with known wall disease. Results: Wall SNR, wall-CSF CNR, and white-gray matter CNR generally increased with simulation T2 and decreased with ETL. Optimization was focused on a narrowed range of protocol choices (ETL = 52; T2 = 140, 170, 200 ms) which enable a scan time of 8 min. ETL=52/T2=170ms was shown (Figure a.) to provide significantly higher (t-test) SNR/CNR performance than the original 12-min protocol (ETL=36/T2=100ms). With the 8-min protocol pre/post contrast, wall abnormalities (Figure b.) were correctly detected in all patients. Conclusion: An 8-min whole-brain intracranial vessel wall imaging protocol is developed which has demonstrated the potential of accurately identifying various wall abnormalities. A large-scale trial on using the technique for diagnosis of stroke etiology is underway.

scholarly journals Development of a clinically practical whole-brain intracranial vessel wall MRI technique at 3 Tesla

2016 ◽  
Vol 18 (S1) ◽  
Author(s):  
Zhaoyang Fan ◽  
Qi Yang ◽  
Shlee S Song ◽  
Zixin Deng ◽  
Ayesha Z Sherzai ◽  
...  
Keyword(s):  
Vessel Wall ◽  
3 Tesla ◽  
Whole Brain ◽  
Intracranial Vessel

scholarly journals Whole-brain intracranial vessel wall imaging at 3 Tesla using cerebrospinal fluid-attenuated T1-weighted 3D turbo spin echo

2016 ◽  
Vol 77 (3) ◽  
pp. 1142-1150 ◽  
Author(s):  
Zhaoyang Fan ◽  
Qi Yang ◽  
Zixin Deng ◽  
Yuxia Li ◽  
Xiaoming Bi ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Vessel Wall ◽  
Spin Echo ◽  
Vessel Wall Imaging ◽  
3 Tesla ◽  
Turbo Spin Echo ◽  
Whole Brain ◽  
Turbo Spin ◽  
Intracranial Vessel ◽  
Wall Imaging

Multi-sequence whole-brain intracranial vessel wall imaging at 7.0 tesla

2013 ◽  
Vol 23 (11) ◽  
pp. 2996-3004 ◽  
Author(s):  
Anja G. van der Kolk ◽  
Jeroen Hendrikse ◽  
Manon Brundel ◽  
Geert J. Biessels ◽  
Ewoud J. Smit ◽  
...  
Keyword(s):  
Vessel Wall ◽  
Vessel Wall Imaging ◽  
Whole Brain ◽  
Intracranial Vessel ◽  
Wall Imaging

scholarly journals T2-Weighted Whole-Brain Intracranial Vessel Wall Imaging at 3 Tesla With Cerebrospinal Fluid Suppression

2021 ◽  
Vol 15 ◽  
Author(s):  
Lei Zhang ◽  
Yanjie Zhu ◽  
Yulong Qi ◽  
Liwen Wan ◽  
Lijie Ren ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Vessel Wall ◽  
Vessel Wall Imaging ◽  
Inversion Recovery ◽  
Whole Brain ◽  
Intracranial Vessel ◽  
Spin Echo Sequence ◽  
Weighted Sequences ◽  
Preparation Module ◽  
Wall Imaging

BackgroundT2-weighted (T2w) intracranial vessel wall imaging (IVWI) provides good contrast to differentiate intracranial vasculopathies and discriminate various important plaque components. However, the strong cerebrospinal fluid (CSF) signal in T2w images interferes with depicting the intracranial vessel wall. In this study, we propose a T2-prepared sequence for whole-brain IVWI at 3T with CSF suppression.MethodsA preparation module that combines T2 preparation and inversion recovery (T2IR) was used to suppress the CSF signal and was incorporated into the commercial three-dimensional (3D) turbo spin echo sequence-Sampling Perfection with Application optimized Contrast using different flip angle Evolution (SPACE). This new technique (hereafter called T2IR-SPACE) was evaluated on nine healthy volunteers and compared with two other commonly used 3D T2-weighted sequences: T2w-SPACE and FLAIR-SPACE (FLAIR: fluid-attenuated inversion recovery). The signal-to-noise ratios (SNRs) of the vessel wall (VW) and CSF and contrast-to-noise ratios (CNRs) between them were measured and compared among these three T2-weighted sequences. Subjective wall visualization of the three T2-weighted sequences was scored blindly and independently by two radiologists using a four-point scale followed by inter-rater reproducibility analysis. A pilot study of four stroke patients was performed to preliminarily evaluate the diagnostic value of this new sequence, which was compared with two conventional T2-weighted sequences.ResultsT2IR-SPACE had the highest CNR (11.01 ± 6.75) compared with FLAIR-SPACE (4.49 ± 3.15; p < 0.001) and T2w-SPACE (−56.16 ± 18.58; p < 0.001). The subjective wall visualization score of T2IR-SPACE was higher than those of FLAIR-SPACE and T2w-SPACE (T2IR-SPACE: 2.35 ± 0.59; FLAIR-SPACE: 0.52 ± 0.54; T2w-SPACE: 1.67 ± 0.58); the two radiologists’ scores showed excellent agreement (ICC = 0.883).ConclusionThe T2IR preparation module markedly suppressed the CSF signal without much SNR loss of the other tissues (i.e., vessel wall, white matter, and gray matter) compared with the IR pulse. Our results suggest that T2IR-SPACE is a potential alternative T2-weighted sequence for assessing intracranial vascular diseases.

scholarly journals Qualitative Evaluation of a High-Resolution 3D Multi-Sequence Intracranial Vessel Wall Protocol at 3 Tesla MRI

PLoS ONE ◽  
2016 ◽  
Vol 11 (8) ◽  
pp. e0160781 ◽  
Author(s):  
Nikki Dieleman ◽  
Wenjie Yang ◽  
Anja G. van der Kolk ◽  
Jill Abrigo ◽  
Ka Lok Lee ◽  
...  
Keyword(s):  
High Resolution ◽  
Vessel Wall ◽  
Qualitative Evaluation ◽  
3 Tesla ◽  
Intracranial Vessel ◽  
3 Tesla Mri

scholarly journals Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging

2021 ◽  
Author(s):  
Carolin M. Pirkl ◽  
Laura Nunez-Gonzalez ◽  
Florian Kofler ◽  
Sebastian Endt ◽  
Lioba Grundl ◽  
...  
Keyword(s):  
Tissue Characterization ◽  
Image Synthesis ◽  
Quantitative Information ◽  
Initial Assessment ◽  
Proton Density ◽  
Whole Brain ◽  
Density Mapping ◽  
Quantitative Mr ◽  
Scan Time ◽  
T1 And T2

Abstract Purpose Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging (QTI) method for tissue characterization based on T1 and T2 values. Methods To demonstrate the viability of the proposed 3D QTI technique, nine glioma patients (grade II–IV), with a variety of disease states and treatment histories, were included in this study. First, we investigated the feasibility of 3D QTI (6:25 min scan time) for its use in clinical routine imaging, focusing on image reconstruction, parameter estimation, and contrast-weighted image synthesis. Second, for an initial assessment of 3D QTI-based quantitative MR biomarkers, we performed a ROI-based analysis to characterize T1 and T2 components in tumor and peritumoral tissue. Results The 3D acquisition combined with a compressed sensing reconstruction and neural network-based parameter inference produced parametric maps with high isotropic resolution (1.125 × 1.125 × 1.125 mm3 voxel size) and whole-brain coverage (22.5 × 22.5 × 22.5 cm3 FOV), enabling the synthesis of clinically relevant T1-weighted, T2-weighted, and FLAIR contrasts without any extra scan time. Our study revealed increased T1 and T2 values in tumor and peritumoral regions compared to contralateral white matter, good agreement with healthy volunteer data, and high inter-subject consistency. Conclusion 3D QTI demonstrated comprehensive tissue assessment of tumor substructures captured in T1 and T2 parameters. Aiming for fast acquisition of quantitative MR biomarkers, 3D QTI has potential to improve disease characterization in brain tumor patients under tight clinical time-constraints.

Intracranial Vessel Wall MRI in a Rabbit Elastase Aneurysm Model

2019 ◽  
Author(s):  
James Ho ◽  
Nakisa Sadeghi ◽  
Ilana Galex ◽  
Nathan Davis ◽  
Sofia Cabello ◽  
...  
Keyword(s):  
Vessel Wall ◽  
Intracranial Vessel ◽  
Aneurysm Model
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