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
中科院分区:
文献类型:
--
作者:
Peña-Nogales Ó;Zhang Y;Wang X;de Luis-Garcia R;Aja-Fernández S;Holmes JH;Hernando D
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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影响因子:
4.4
作者:
Liau, Joy;Lee, Jimmy;Schroeder, Michael E.;Sirlin, Claude B.;Bydder, Mark
通讯作者:
Bydder, Mark
影响因子:
3.3
作者:
Schulte, Rolf F.;Noeske, Ralph
通讯作者:
Noeske, Ralph
影响因子:
3.3
作者:
Baron, C. A.;Lebel, R. M.;Beaulieu, C.
通讯作者:
Beaulieu, C.
影响因子:
3.3
作者:
Aliotta, Eric;Moulin, Kevin;Ennis, Daniel B.
通讯作者:
Ennis, Daniel B.
影响因子:
19.7
作者:
Mürtz, P;Flacke, S;Schild, HH
通讯作者:
Schild, HH