Gradient Scheme Optimization for PRESS-Localized Edited MRS Using Weighted Pathway Suppression

doi:10.1002/nbm.70182

2026-01-01

Gizeaddis Lamesgin Simegn

Zahra Shams

Saipavitra Murali‐Manohar

Dunja Simičić

Abdelrahman Gamil Gad

Yulu Song

Vivek Yedavalli

Christopher W. Davies‐Jenkins

DOI：10.1002/nbm.70182

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摘要

En 中文

本研究旨在设计和实施一种优化的梯度方案，用于PRESS局部化编辑磁共振波谱（MRS），以增强体素外（OOV）伪影的抑制。这些伪影源于对不希望存在的相干转移路径（CTPs）压制不足，在γ-氨基丁酸和谷胱甘肽等代谢物的编辑方案中尤其具有挑战性。为解决此问题，开发了一种基于体积的似然模型，用于指导梯度方案优化，根据似然性优先抑制CTPs。用于CTP加权的基于体积的似然模型被整合到通过相干阶路径选择的退相干优化（DOTCOPS）梯度优化中。使用带有加权双惩罚成本函数的遗传算法，优化梯度方案以最大化路径特异性抑制。硬件和序列约束（分别指最大梯度幅度和延迟时间）指导了优化过程。通过模拟和活体验证了优化方案，其中模拟通过计算k空间压制效率（基于k空间轨迹进行解析计算），活体使用编辑MRS序列在三个脑区（后扣带皮层PCC、丘脑和内侧前额叶皮层[mPFC]）进行，特别关注OOV伪影减少和谱线质量改善。采用三因素方差分析评估OOV伪影减少的显著性水平。优化后的梯度方案显示出改进的k空间压制效率（平均提高197%）。所有脑区的OOV伪影均得到减少，尤其在高度易感OOV伪影的区域（丘脑和mPFC）更为显著。在4.3 ppm附近改进最为明显，伴随显著的OOV伪影幅度降低（p < 0.001）。通过使用基于体积的似然模型进行CTP优先级排序，优化的DOTCOPS方案确保在减少OOV伪影方面具有鲁棒性和区域无关性。

Keyword:

coherence transfer pathways

CTPs

diffusion weighting

edited MRS

genetic algorithm

OOV artifacts

optimized gradient scheme

volume-based likelihood model

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期刊

NMR in Biomedicine

IF:

2.7

论文数:

402

被引数:

7.9K

机构

johns hopkins university

学者数:

1.1W

论文数: 4.1K

被引数: 1

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