Convex optimized diffusion encoding (CODE) gradient waveforms for minimum echo time and bulk motion-compensated diffusion-weighted MRI
Convex optimized diffusion encoding (CODE) gradient waveforms for minimum echo time and bulk motion-compensated diffusion-weighted MRI
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DOI：
10.1002/mrm.26166
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发表时间：
2017-02-01
影响因子：
3.3
通讯作者：
Ennis, Daniel B.
中科院分区：
文献类型：
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作者：
Aliotta, Eric;Wu, Holden H.;Ennis, Daniel B.
PurposeTo评估凸优化扩散编码（CODE）梯度波形的最小回波时间和体积运动补偿扩散加权成像（DWI）。方法扩散编码梯度波形的b值和空间分辨率的范围内设计和不使用CODE框架的运动补偿。CODE、一阶矩（M-1）无效CODE-M-1以及一阶和二阶矩（M-2）无效CODE-M1 M2用于采集健康受试者（n=10）的神经、肝脏和心脏ADC图，分别与单极（MONO）、双极（M-1=0）和运动补偿ADC图进行比较。结果与MONO相比，CODE能显著提高神经元ADC图的SNR（19.5 ± 2.5 vs 14.5 ± 1.9）。与MONO相比，CODE-M-1肝脏ADC显著更低（1.3 +/- 0.1 vs 1.8 +/- 0.3 x 10（-3）mm（2）/s，即运动受损更少），空间更均匀（6% vs 55% ROI差异），SNR高于BIPOLAR（SNR=14.9 +/- 5.3 vs 8.0 +/- 3.1）。CODE-M1 M2心脏ADC显著低于MONO（1.9 +/- 0.6 vs 3.8 +/- 0.3 x10（-3）mm（2）/s），收缩期SNR高于MOCO（9.1 +/- 3.9 vs 7.0 +/- 2.6），但报告的ADC相似（1.5 +/- 0.2 vs 1.4 +/- 0.6 x 10（-3）mm（2）/s）。结论CODE显著提高了脑、肝和心脏ADC图的SNR，并显著改善肝脏和心脏中的DWI块运动鲁棒性。Magn Reson Med 77：717-729，2017年。(c)2016年国际医学磁共振学会
PurposeTo evaluate convex optimized diffusion encoding (CODE) gradient waveforms for minimum echo time and bulk motion-compensated diffusion-weighted imaging (DWI).MethodsDiffusion-encoding gradient waveforms were designed for a range of b-values and spatial resolutions with and without motion compensation using the CODE framework. CODE, first moment (M-1) nulled CODE-M-1, and first and second moment (M-2) nulled CODE-M1M2 were used to acquire neuro, liver, and cardiac ADC maps in healthy subjects (n=10) that were compared respectively to monopolar (MONO), BIPOLAR (M-1=0), and motion-compensated (MOCO, M-1+M-2=0) diffusion encoding.ResultsCODE significantly improved the SNR of neuro ADC maps compared with MONO (19.52.5 versus 14.5 +/- 1.9). CODE-M-1 liver ADCs were significantly lower (1.3 +/- 0.1 versus 1.8 +/- 0.3 x 10(-3) mm(2)/s, ie, less motion corrupted) and more spatially uniform (6% versus 55% ROI difference) than MONO and had higher SNR than BIPOLAR (SNR=14.9 +/- 5.3 versus 8.0 +/- 3.1). CODE-M1M2 cardiac ADCs were significantly lower than MONO (1.9 +/- 0.6 versus 3.8 +/- 0.3 x10(-3) mm(2)/s) throughout the cardiac cycle and had higher SNR than MOCO at systole (9.1 +/- 3.9 versus 7.0 +/- 2.6) while reporting similar ADCs (1.5 +/- 0.2 versus 1.4 +/- 0.6 x 10(-3) mm(2)/s).ConclusionsCODE significantly improved SNR for ADC mapping in the brain, liver and heart, and significantly improved DWI bulk motion robustness in the liver and heart. Magn Reson Med 77:717-729, 2017. (c) 2016 International Society for Magnetic Resonance in Medicine