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Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition最新文献

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Highly Accelerated, Intravascular T1, T2, and Proton Density Mapping with Linear Algebraic Modeling and Sensitivity Profile Correction at 3T. 高加速,血管内T1, T2和质子密度映射与线性代数建模和灵敏度剖面校正在3T。
Guan Wang, Yi Zhang, Shashank Sathyanarayana Hegde, Paul A Bottomley

Vessel wall MRI with intravascular (IV) detectors can produce superior local signal-to-noise ratios (SNR) and generate high-resolution T1, T2, and proton density (PD) maps that could be used to automatically classify atherosclerotic lesion stage. However, long acquisition times potentially limit multi-parametric mapping. Here, for the first time, spectroscopy with linear algebraic modeling (SLAM) is applied to yield accurate compartment-average T1, T2 and PD measures at least 10 times faster compared to a standard full k-space reconstructed MIX-TSE sequence at 3T. Simple phase and magnitude sensitivity corrections are incorporated into the SLAM reconstruction to compensate for IV detector non-uniformity.

使用血管内(IV)检测器的血管壁MRI可以产生优越的局部信噪比(SNR),并生成高分辨率的T1、T2和质子密度(PD)图,可用于自动划分动脉粥样硬化病变阶段。然而,较长的采集时间可能会限制多参数映射。在这里,首次应用线性代数建模(SLAM)的光谱学,与标准的全k空间重建MIX-TSE序列在3T时相比,获得准确的区室平均T1, T2和PD测量速度至少快10倍。简单的相位和幅度灵敏度校正被纳入到SLAM重建中,以补偿IV探测器的不均匀性。
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引用次数: 0
Highly-accelerated CEST Measurements in Three Dimensions with Linear Algebraic Modeling. 基于线性代数建模的高加速CEST三维测量。
Yi Zhang, Hye-Young Heo, Dong-Hoon Lee, Shanshan Jiang, Xuna Zhao, Paul Bottomley, Jinyuan Zhou

CEST MRI can provide valuable molecular level information in vivo, but its translation to routine clinics is hindered by long imaging times. Regional average CEST measurements often suffice for quantitative evaluation, diagnosis, and treatment assessment, while allowing much shorter scan times. Recently, the spectroscopy with linear algebraic modeling (SLAM) method was adapted for CEST MRI in two dimensions (2D), directly obtaining compartmental-average measurements manifold faster than conventional CEST. Here, the SLAM CEST method is extended from 2D to 3D, and applied to patients with brain tumors with acceleration factors of up to 98-fold.

CEST MRI可以提供体内有价值的分子水平信息,但由于成像时间长,其向常规临床的转化受到阻碍。区域平均CEST测量通常足以进行定量评估,诊断和治疗评估,同时允许更短的扫描时间。近年来,基于线性代数建模(SLAM)的光谱学方法被应用于二维(2D) CEST MRI,直接获得比传统CEST更快的区隔平均测量流形。在这里,SLAM CEST方法从2D扩展到3D,并应用于加速因子高达98倍的脑肿瘤患者。
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引用次数: 0
Fast Chemical Exchange Saturation Transfer (CEST) Imaging with Variably-accelerated Sensitivity Encoding (vSENSE). 快速化学交换饱和转移(CEST)成像与可变加速灵敏度编码(vSENSE)。
Yi Zhang, Hye-Young Heo, Dong-Hoon Lee, Paul Bottomley, Jinyuan Zhou

CEST imaging has numerous applications, but its widespread clinical use is hampered by relatively long acquisition times. Here, a novel variably-accelerated sensitivity encoding (vSENSE) method is proposed that provides faster CEST acquisitions than conventional SENSE. The vSENSE approach undersamples k-space variably for images acquired at different saturation frequencies to maximize acquisition speed. vSENSE was validated in a phantom and in 8 patients with brain tumors studied at 3T. The vSENSE method provided a 4-fold acceleration, compared to conventional SENSE which permitted only a 2-fold acceleration, with both compared to a full k-space reconstruction.

CEST成像有许多应用,但其广泛的临床应用受到相对较长的采集时间的阻碍。本文提出了一种新的变加速灵敏度编码(vSENSE)方法,该方法比传统的SENSE方法提供更快的CEST采集速度。vSENSE方法对在不同饱和频率下采集的图像进行k空间欠采样,以最大限度地提高采集速度。vSENSE在一个幻影和8例3T脑肿瘤患者中得到了验证。vSENSE方法提供了4倍的加速度,而传统的SENSE方法只允许2倍的加速度,两者都与全k空间重建相比。
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引用次数: 0
A combined interventional high-resolution targeted ablation, thermometry and imaging probe. 一种综合介入高分辨率靶向消融、测温和成像探头。
M Arcan Erturk, Shashank Sathyanarayana Hegde, Paul A Bottomley
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引用次数: 0
Automated classification of vessel disease based on high-resolution intravascular multi-parametric mapping MRI. 基于高分辨率血管内多参数成像MRI的血管疾病自动分类。
Guan Wang, M Arcan Erturk, Shashank Sathyanarayana Hegde, Paul A Bottomley
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引用次数: 0
Multi-parametric MRI Assessment of Tumor Response to High-Intensity Focused Ultrasound in a Rat Glioma Model. 大鼠胶质瘤模型中肿瘤对高强度聚焦超声反应的多参数磁共振成像评估
Yi Zhang, Dong-Hoon Lee, Kai Zhang, Antonella Mangraviti, Chen Yang, Hye-Young Heo, Betty Tyler, Ari Partanen, Keyvan Farahani, Paul Bottomley, Peter van Zijl, Jinyuan Zhou
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引用次数: 0
A comparative study of 16 tractography algorithms for the corticospinal tract: reproducibility and subject-specificity. 16种脊髓束束造影算法的比较研究:可重复性和受试者特异性。
Emmanuel Caruyer, Luke Bloy, Birkan Tunç, Jérémy Lecoeur, Varsha Shankar, Ragini Verma
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引用次数: 0
Generating a human neonatal brain atlas for superior normalization accuracy. 生成人类新生儿脑图谱,实现更高的标准化精度。
Yajing Zhang, Linda Chang, Thomas Ernst, Jon Skranes, Steven Buchthal, Daniel Alicata, Heather Johansen, Antonette Hernandez, Robyn Yamakawa, Lillian Fujimoto, Michael Miller, Susumu Mori, Kenichi Oishi
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引用次数: 0
3T intravascular MRI, IVUS and OCT: A study in contrast. 3T血管内MRI、IVUS和OCT:对比研究。
Shashank Sathyanarayana Hegde, Clifford R Weiss, M Arcan Erturk, Paul A Bottomley
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引用次数: 0
Spectroscopy with linear algebraic modeling (SLAM): speed and quantification in brain tumor studies. 光谱线性代数建模(SLAM):脑肿瘤研究的速度和量化。
Yi Zhang, Refaat E Gabr, Jinyuan Zhou, Robert G Weiss, Paul A Bottomley
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引用次数: 0
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Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition
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