Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling.

Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling.
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DOI:
10.1002/mrm.27462
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发表时间:
2019-03
影响因子:
3.3
通讯作者:
Hernando D
Hernando D
中科院分区:
医学3区
文献类型:
--
作者:
Peña-Nogales Ó;Zhang Y;Wang X;de Luis-Garcia R;Aja-Fernández S;Holmes JH;Hernando D

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提出一种新型优化扩散加权梯度波形设计(ODGD)方法,用于设计扩散MRI的最小回波时间(TE)、体运动补偿和伴随梯度(CG)调零波形。ODGD运动补偿波形被设计用于各种力矩调零Mn(n= 0,1,2),用于一系列b值和空间分辨率,没有(ODGD-Mn)和具有CG调零(ODGD-Mn-CG)。使用各种ODGD波形进行体模和体内(脑和肝)实验,以比较运动鲁棒性、信噪比(SNR)和表观扩散系数(ADC)图与最先进的波形。ODGD-Mn和ODGD-Mn-CG波形降低了最先进波形的TE。在体模和体内实验中,这种TE降低导致显著更高的SNR(P < 0.05)。ODGD-M1改善了脑中BIPOLAR的SNR(42.8±5.3 vs 32.9±3.3),ODGD-M2改善了肝中运动补偿(MOCO)和凸面优化扩散编码-M2(CODE-M2)的SNR(分别为12.3±3.6 vs 9.7±2.9和10.2±3.4)。此外,ODGD-M2在肝脏中也显示出优异的运动鲁棒性。ODGD-Mn-CG波形减少了体模和体内实验中非CG调零波形的CG相关失相效应,从而获得准确的ADC图。在理论结果、模拟、体模和体内实验中,与最先进的波形相比,ODGD波形能够实现运动稳健的扩散MRI,具有降低的TE、增加的SNR和降低的ADC偏差。
To present a novel Optimized Diffusion-weighting Gradient waveform Design (ODGD) method for the design of minimum echo time (TE), bulk motion-compensated, and concomitant gradient (CG)-nulling waveforms for diffusion MRI. ODGD motion-compensated waveforms were designed for various moment-nullings Mn (n=0,1,2), for a range of b-values, and spatial resolutions, both without (ODGD-Mn) and with CG-nulling (ODGD-Mn-CG). Phantom and in-vivo (brain and liver) experiments were conducted with various ODGD waveforms to compare motion robustness, signal-to-noise ratio (SNR), and apparent diffusion coefficient (ADC) maps with state-of-the-art waveforms. ODGD-Mn and ODGD-Mn-CG waveforms reduced the TE of state-of-the-art waveforms. This TE reduction resulted in significantly higher SNR (P < 0.05) in both phantom and in-vivo experiments. ODGD-M1 improved the SNR of BIPOLAR (42.8±5.3 versus 32.9±3.3) in the brain, and ODGD-M2 the SNR of motion-compensated (MOCO) and Convex Optimized Diffusion Encoding-M2 (CODE-M2) (12.3±3.6 versus 9.7±2.9 and 10.2±3.4, respectively) in the liver. Further, ODGD-M2 also showed excellent motion robustness in the liver. ODGD-Mn-CG waveforms reduced the CG-related dephasing effects of non CG-nulling waveforms in phantom and in-vivo experiments, resulting in accurate ADC maps. ODGD waveforms enable motion-robust diffusion MRI with reduced TEs, increased SNR, and reduced ADC bias compared to state-of-the-art waveforms in theoretical results, simulations, phantoms and in-vivo experiments.
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