Institute of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland; King Abdulaziz University, Jedaah, Saudi Arabia.
Institute of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland.
Neuroimage. 2019 Feb 1;186:399-409. doi: 10.1016/j.neuroimage.2018.09.046. Epub 2018 Oct 17.
The lateral geniculate nucleus (LGN) is an essential nucleus of the visual pathway, occupying a small volume (60-160 mm) among the other thalamic nuclei. The reported LGN volumes vary greatly across studies due to technical limitations and due to methodological differences of volume assessment. Yet, structural and anatomical alterations in ophthalmologic and neurodegenerative pathologies can only be revealed by a precise and reliable LGN representation. To improve LGN volume assessment, we first implemented a reference acquisition for LGN volume determination with optimized Contrast to Noise Ratio (CNR) and high spatial resolution. Next, we compared CNR efficiency and rating reliability of 3D Magnetization Prepared Rapid Gradient Echo (MPRAGE) images using white matter nulled (WMn) and grey matter nulled (GMn) sequences and its subtraction (WMn-GMn) relative to the clinical standard Proton Density Turbo Spin Echo (PD 2D TSE) and the reference acquisition. We hypothesized that 3D MPRAGE should provide a higher CNR and volume determination accuracy than the currently used 2D sequences.
In 31 healthy subjects, we obtained at 3 and 7 T the following MR sequences: PD-TSE, MPRAGE with white/grey matter signal nulled (WMn/GMn), and a motion-corrected segmented MPRAGE sequence with a resolution of 0.4 × 0.4 × 0.4 mm (reference acquisition). To increase CNR, GMn were subtracted from WMn (WMn-GMn). Four investigators manually segmented the LGN independently.
The reference acquisition provided a very sharp depiction of the LGN and an estimated mean LGN volume of 124 ± 3.3 mm. WMn-GMn had the highest CNR and gave the most reproducible LGN volume estimations between field strengths. Even with the highest CNR efficiency, PD-TSE gave inconsistent LGN volumes with the weakest reference acquisition correlation. The LGN WM rim induced a significant difference between LGN volumes estimated from WMn and GMn. WMn and GMn LGN volume estimations explained most of the reference acquisition volumes' variance. For all sequences, the volume rating reliability were good. On the other hand, the best CNR rating reliability, LGN volume and CNR correlations with the reference acquisition were obtained with GMn at 7 T.
WMn and GMn MPRAGE allow reliable LGN volume determination at both field strengths. The precise location and identification of the LGN (volume) can help to optimize neuroanatomical and neurophysiological studies, which involve the LGN structure. Our optimized imaging protocol may be used for clinical applications aiming at small nuclei volumetric and CNR quantification.
外侧膝状体核(LGN)是视觉通路的重要核团,在其他丘脑核团中占据着较小的体积(60-160mm)。由于技术限制以及体积评估方法的差异,不同研究报告的 LGN 体积差异很大。然而,眼科和神经退行性病变中的结构和解剖改变只有通过精确和可靠的 LGN 表示才能揭示。为了改进 LGN 体积评估,我们首先使用优化对比噪声比(CNR)和高空间分辨率实现了 LGN 体积确定的参考采集。接下来,我们比较了使用白质(WMn)和灰质(GMn)信号抑制(WMn-GMn)序列的 3D 磁化准备快速梯度回波(MPRAGE)图像的 CNR 效率和评分可靠性,以及其与临床标准质子密度涡轮自旋回波(PD 2D TSE)和参考采集的比较。我们假设 3D MPRAGE 应该比当前使用的 2D 序列提供更高的 CNR 和体积确定精度。
在 31 名健康受试者中,我们在 3 和 7T 下获得了以下磁共振序列:PD-TSE、WMn/GMn 信号抑制的 MPRAGE 以及分辨率为 0.4×0.4×0.4mm 的运动校正分段 MPRAGE 序列(参考采集)。为了增加 CNR,从 WMn 中减去 GMn(WMn-GMn)。四位研究人员独立手动分割 LGN。
参考采集提供了 LGN 的非常清晰的描绘,并估计平均 LGN 体积为 124±3.3mm。WMn-GMn 具有最高的 CNR,并在不同场强下提供了最可重复的 LGN 体积估计。即使具有最高的 CNR 效率,PD-TSE 也与最弱的参考采集相关性不一致,导致 LGN 体积不一致。LGN WM 边缘导致 WMn 和 GMn 估计的 LGN 体积之间存在显著差异。WMn 和 GMn LGN 体积估计解释了参考采集体积方差的大部分。对于所有序列,体积评分可靠性均良好。另一方面,在 7T 时,GMn 获得了最佳的 CNR 评分可靠性、LGN 体积和 CNR 与参考采集的相关性。
WMn 和 GMn MPRAGE 允许在两种场强下可靠地确定 LGN 体积。LGN 的精确位置和识别(体积)可以帮助优化涉及 LGN 结构的神经解剖学和神经生理学研究。我们优化的成像方案可用于旨在进行小核体积和 CNR 定量的临床应用。