Navigator readouts with optimized processing improve spinal cord and gray matter segmentability in multi-echo gradient-echo imaging.

Imaging neuroscience (Cambridge, Mass.) Pub Date : 2026-08-03 eCollection Date: 2026-01-01 DOI:10.1162/IMAG.a.1320
Silvan Büeler, Laura Beghini, Christian W Kündig, Martina D Liechti, S Johanna Vannesjo, Gergely David
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Abstract

Multi-echo gradient-echo (ME-GRE) acquisitions of the spinal cord (SC) are highly susceptible to breathing-induced magnetic field fluctuations arising from the proximity of the lungs, often resulting in ghosting artifacts and signal loss. A navigator readout can be employed to monitor and correct for these field variations; however, conventional navigator processing methods frequently fail in the SC due to its small size and distinct anatomy. Here, we evaluate the impact of a recently introduced, SC-specific navigator processing approach on SC and gray matter (GM) segmentability. ME-GRE images were acquired at 3T during free breathing in ten healthy volunteers, covering the cervical, thoracic, and lumbosacral spinal cord. Data were collected both with and without a centerline navigator readout. Acquisitions without navigators included five imaging echoes, whereas those with navigators comprised four imaging echoes followed by an additional readout of the k-space centerline (the "navigator echo"). The navigator readout was processed using a recently introduced method optimized for the SC. The effect of the optimized navigator correction was evaluated by contrast-to-noise ratio (CNR), qualitative ratings of SC and GM segmentability, and the performance of automatic segmentation algorithms. Compared with acquisitions without navigators, optimized navigator correction significantly improved quantitative image quality metrics, particularly GM-white matter CNR at the C7-T1 and T7-T8 vertebral levels and across the lumbosacral cord. Regarding SC and GM segmentability, raters preferred images with navigators over uncorrected images at nearly all spinal cord levels, with the strongest effect observed for GM segmentability in the lumbosacral cord. Although overall automatic segmentation performance was comparable between acquisition types, automatic GM segmentation failed at the lumbosacral cord in the presence of severe artifacts in acquisitions without navigators, while remaining robust in the corresponding navigator-corrected images. In conclusion, navigator processing optimized for SC imaging improves image quality and segmentability in ME-GRE acquisitions, making this technique attractive for both clinical and research applications.

导航读出与优化处理提高脊髓和灰质分割能力在多回声梯度回声成像。
脊髓(SC)的多回波梯度回波(ME-GRE)采集极易受到呼吸引起的磁场波动的影响,这种波动源于靠近肺部,通常会导致重影和信号丢失。导航仪读数可用于监测和纠正这些现场变化;然而,传统的导航处理方法经常失败的SC由于其小尺寸和独特的解剖结构。在这里,我们评估了最近引入的SC特异性导航处理方法对SC和灰质(GM)可分割性的影响。10名健康志愿者在自由呼吸时获得3T时的ME-GRE图像,包括颈、胸和腰骶脊髓。在有和没有中心线导航仪读数的情况下收集数据。没有导航仪的采集包括5个成像回波,而有导航仪的采集包括4个成像回波,然后是k空间中心线的额外读数(“导航仪回波”)。利用一种针对SC优化的方法对导航器读出数据进行处理,并通过对比噪声比(CNR)、SC和GM可分割性的定性评级以及自动分割算法的性能来评估优化后的导航器校正效果。与没有导航器的采集相比,优化的导航器校正显著提高了定量图像质量指标,特别是C7-T1和T7-T8椎体水平和腰骶索的gm -白质CNR。关于SC和GM的可分割性,评分者在几乎所有脊髓水平上都更喜欢导航图像,而不是未经校正的图像,在腰骶脊髓中观察到最强的GM可分割性。尽管总体自动分割性能在不同采集类型之间是相当的,但在没有导航器的采集中,如果存在严重的伪影,自动GM分割在腰骶束处失败,而在相应的导航器校正图像中保持鲁棒性。总之,针对SC成像优化的导航处理提高了ME-GRE采集的图像质量和可分割性,使该技术在临床和研究应用中都具有吸引力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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