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

Óscar Peña-Nogales; Yuxin Zhang; Xiaoke Wang; Rodrigo de Luis-Garcia; Santiago Aja-Fernández; James H Holmes; Diego Hernando

doi:10.1002/mrm.27462

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

Journal article

Peer reviewed

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

Óscar Peña-Nogales, Yuxin Zhang, Xiaoke Wang, Rodrigo de Luis-Garcia, Santiago Aja-Fernández, James H Holmes and Diego Hernando

Magnetic resonance in medicine, Vol.81(2), pp.989-1003

02/2019

DOI: 10.1002/mrm.27462

PMCID: PMC6289642

PMID: 30394568

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http://uvadoc.uva.es/handle/10324/31374View

Open Access

Abstract

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 M (n = 0, 1, 2), for a range of b-values, and spatial resolutions, both without (ODGD-M ) and with CG-nulling (ODGD-M -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-M and ODGD-M -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-M improved the SNR of BIPOLAR (42.8 ± 5.3 vs. 32.9 ± 3.3) in the brain, and ODGD-M the SNR of motion-compensated (MOCO) and Convex Optimized Diffusion Encoding-M (CODE-M ) (12.3 ± 3.6 vs. 9.7 ± 2.9 and 10.2 ± 3.4, respectively) in the liver. Further, ODGD-M also showed excellent motion robustness in the liver. ODGD-M -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.

Acetone

Algorithms

Brain - diagnostic imaging

Diagnostic Tests, Routine

Diffusion Magnetic Resonance Imaging

Echo-Planar Imaging

Humans

Image Processing, Computer-Assisted - methods

Liver - diagnostic imaging

Motion

Phantoms, Imaging

Signal-To-Noise Ratio

Details

Title: Subtitle: Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling
Creators: Óscar Peña-Nogales - Universidad de Valladolid
Yuxin Zhang - University of Wisconsin–Madison
Xiaoke Wang - University of Wisconsin–Madison
Rodrigo de Luis-Garcia - Universidad de Valladolid
Santiago Aja-Fernández - Universidad de Valladolid
James H Holmes - University of Wisconsin–Madison
Diego Hernando - University of Wisconsin–Madison
Resource Type: Journal article
Publication Details: Magnetic resonance in medicine, Vol.81(2), pp.989-1003
DOI: 10.1002/mrm.27462
PMID: 30394568
PMCID: PMC6289642
NLM abbreviation: Magn Reson Med
ISSN: 0740-3194
eISSN: 1522-2594
Grant note: K12 DK100022 / NIDDK NIH HHS
Language: English
Date published: 02/2019
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology
Record Identifier: 9984294923302771

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