A Processing Pipeline for Quantifying Lenticulostriate Artery Vascular Volume in Subcortical Nuclei.
A Processing Pipeline for Quantifying Lenticulostriate Artery Vascular Volume in Subcortical Nuclei.
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DOI：
10.3389/fneur.2021.700476
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发表时间：
2021
影响因子：
3.4
通讯作者：
Zhang Z
中科院分区：
文献类型：
--
作者：
Wei N;Zhang X;An J;Zhuo Y;Zhang Z
豆纹动脉 (LSA) 向基底神经节区域供血。其病变会导致腔隙性中风并导致神经系统综合症。然而，由于其口径小、个体差异大，LSAs的评估仅限于描述性和客观的测量。在本研究中，我们旨在开发一种后处理方法来量化皮质下区域的 LSA，并将其血管体积与传统的 LSA 测量结果进行比较。处理管道的设计目的是提取各个空间中的皮层下区域，同时筛选出血管。皮层下区域 LSA 的血管体积是通过 7 特斯拉的飞行时间磁共振血管造影 (TOF-MRA) 计算得出的。经测试，血管体积的重现性良好（n = 5，ICCA = 0.84）。将结果与传统测量结果进行比较，血管体积与LSA的分支数量（r = 0.402，p < 0.001）和长度（r = 0.246，p = 0.032）显着相关。通过将该方法应用于一组健康志愿者（n = 40），我们发现大多数 LSA 穿过壳核，因此壳核在皮质下核中具有最高的血管密度。总的来说，我们提出了一种半自动处理流程，用于量化皮层下区域 LSA 的血管体积。该新方法经过测试是稳健的并提供了合理的结果。该方法揭示了穿支动脉和基底神经节之间的空间关系。血管容量可用于评估皮层下区域的血液供应，有利于小血管病变引起的神经退行性疾病的放射学评估。
Lenticulostriate arteries (LSAs) supply blood to the basal ganglia region. Its lesion causes lacunar stroke and resulting neurological syndromes. However, due to its small caliber and large individual variance, the evaluation of LSAs was limited to descriptive and objective measurements. In this study, we aimed to develop a post-processing method to quantify LSAs in subcortical regions and compare their vascular volume to conventional LSA measurements. A processing pipeline was designed to extract subcortical areas in individual spaces while screening out vessels. The vascular volume of LSAs in the subcortical region was calculated from time-of-flight-magnetic resonance angiography (TOF-MRA) at 7 Tesla. The reproducibility was tested to be good for the vascular volume (n = 5, ICCA = 0.84). Comparing the results to conventional measurements, the vascular volume was significantly correlated with the number of branches (r = 0.402, p < 0.001) and the length (r = 0.246, p = 0.032) of LSAs. By applying the method to a group of healthy volunteers (n = 40), we found that most LSAs crossing through the putamen which thereby has the highest vascular density among subcortical nuclei. In general, we proposed a semi-automated processing pipeline for quantifying the vascular volume of LSAs in subcortical regions. The novel method was tested to be robust and provided reasonable results. This method revealed spatial relationships among the perforating arteries and basal ganglia. The vascular volume can be used to evaluated blood supply of subcortical regions, benefiting the radiologic evaluation of neurodegenerative diseases caused by small vascular lesions.
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