Free-breathing liver fat and R2∗ quantification using motion-corrected averaging based on a nonlocal means algorithm.
Free-breathing liver fat and R2∗ quantification using motion-corrected averaging based on a nonlocal means algorithm.
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基于非局部均值算法的运动校正平均法的自由呼吸肝脏脂肪和R2加权量化。
DOI：
10.1002/mrm.28439
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发表时间：
2021-03
影响因子：
3.3
通讯作者：
Hernando D
中科院分区：
文献类型：
--
作者：
Luo H;Zhu A;Wiens CN;Starekova J;Shimakawa A;Reeder SB;Johnson KM;Hernando D
提出一种运动鲁棒的高信噪比化学位移编码（CSE）方法，用于精确定量肝脏质子密度脂肪分数（PDFF）。提出了一种自由呼吸多重复2D CSE采集与运动校正平均使用非局部均值（NLM）。将PDFF和2D CSE-NLM定量与两种替代2D技术进行比较：数字体模中的直接平均和单次采集（2D 1ave）。此外，在患者中将2D NLM与3D技术（标准屏气、自由呼吸和导航）和替代2D技术进行了比较。进行读片员研究和定量分析（Bland-Altman、相关性分析、配对Student t检验），以评价图像质量并评估PDFF和感兴趣区域的测量值。在模拟中，与直接平均（PDFF：3.1%，：13.6 s-1）和2D 1ave（PDFF：8.7%，：33.2 s-1）相比，2D NLM导致PDFF的标准差（STD）更低（2.7%）和（8.2 s-1）。在患者中，2D NLM导致的运动伪影比3D自由呼吸和3D导航更少，信号丢失比2D直接平均更少，SNR比2D 1ave更高。在定量上，PDFF和2D NLM的STD与2D直接平均的STD相当（p>0.05）。2D NLM减少了偏差，特别是在（−5.73至−0.36 s−1）中，在存在运动的情况下，直接求平均值（−3.96至11.22 s−1）会产生偏差。2D CSE-NLM能够在自由呼吸期间精确映射PDFF和肝脏。
To propose a motion-robust chemical shift-encoded (CSE) method with high signal-to-noise (SNR) for accurate quantification of liver proton density fat fraction (PDFF) and . A free-breathing multi-repetition 2D CSE acquisition with motion-corrected averaging using non-local means (NLM) was proposed. PDFF and quantified with 2D CSE-NLM were compared to two alternative 2D techniques: direct averaging and single acquisition (2D 1ave) in a digital phantom. Further, 2D NLM was compared in patients to 3D techniques (standard breath-hold, free-breathing and navigated), and the alternative 2D techniques. A reader study and quantitative analysis (Bland-Altman, correlation analysis, paired Student’s t-test) were performed to evaluate the image quality and assess PDFF and measurements in regions of interest. In simulations, 2D NLM resulted in lower standard deviations (STDs) of PDFF (2.7%) and (8.2 s−1) compared to direct averaging (PDFF: 3.1%, : 13.6 s−1) and 2D 1ave (PDFF: 8.7%, : 33.2 s−1). In patients, 2D NLM resulted in fewer motion artifacts than 3D free-breathing and 3D navigated, less signal loss than 2D direct averaging, and higher SNR than 2D 1ave. Quantitatively, the STDs of PDFF and of 2D NLM were comparable to those of 2D direct averaging (p>0.05). 2D NLM reduced bias, particularly in (−5.73 to −0.36 s−1) that arises in direct averaging (−3.96 to 11.22 s−1) in the presence of motion. 2D CSE-NLM enables accurate mapping of PDFF and in the liver during free-breathing.
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影响因子：
3.3
作者：
Hernando, Diego;Liang, Zhi-Pei;Kellman, Peter
通讯作者：
Kellman, Peter
影响因子：
4.4
作者：
Hernando, Diego;Levin, Yakir S.;Sirlin, Claude B.;Reeder, Scott B.
通讯作者：
Reeder, Scott B.
影响因子：
10.6
作者：
Gal, Yaniv;Mehnert, Andrew J. H.;Crozier, Stuart
通讯作者：
Crozier, Stuart
影响因子：
3.3
作者：
Hernando, Diego;Kellman, P.;Haldar, J. P.;Liang, Z-P.
通讯作者：
Liang, Z-P.
影响因子：
3.3
作者：
Hernando, Diego;Kramer, J. Harald;Reeder, Scott B.
通讯作者：
Reeder, Scott B.