黑质弥散张量RGB分量转化各向异性分数分析及可视化

刘羽卿  王小军 季达峰  孙海华 徐晓露  张新化

doi:10.16098/j.issn.0529-1356.2025.04.011

PDF(8263 KB)

解剖学报 ›› 2025, Vol. 56 ›› Issue (4) : 459-465. DOI: 10.16098/j.issn.0529-1356.2025.04.011

解剖学

黑质弥散张量RGB分量转化各向异性分数分析及可视化

刘羽卿^1,2王小军³ 季达峰⁴ 孙海华⁵ 徐晓露⁵ 张新化^1*

作者信息 +

Fractional anisotrophy analysis and visualization on the reverse computing of RGB components as diffusion tensor in substantia nigra

LIU Yu-qing^1,2 WANG Xiao-jun³ JI Da-feng⁴ SUN Hai-hua⁵ XU Xiao-lu⁵ ZHANG Xin-hua^1*

Author information +

文章历史 +

摘要

目的探讨黑质中不同方向纤维RGB分量转化各向异性分数(FA)分析在帕金森病（PD）中的应用价值。方法 PD患者35例，正常对照组37例。进行脑部弥散张量成像(DTI)扫描后，将序列导入3DSlicer 5. 6. 0软件中，利用Diffusion模块实现基于FA的伪彩映射，定位并分割出黑质，将黑质掩模作为追踪出发点。形成纤维追踪后，将其导入DTIANALYSIS 1.51软件中，将RGB分量转化为FA值进行分析并将分析结果可视化，同时对纤维长度、纤维密度及分段FA点云百分比进行比较。结果与正常组相比，PD组黑质纤维长度较短(95.14 mm ±19.85 mm vs 115.99 mm ± 21.39 mm,P<0.01)，两者间差异存在统计学意义；在纤维密度上差异无统计学意义［(0.07±0.05）/mm3 vs （0.1±0.12）/mm3, P>0.05］；PD组0.9~1的FA区段点云占比较正常组低，但各FA区段点云比的主成分特征不明显。结论基于RGB分量转化FA分析可对PD患者黑质神经纤维长度、密度和FA值进行量化和可视化分析，为PD神经通路研究提供依据。

Abstract

Objective To explore the application value of fractional anisotropy (FA) analysis of RGB component transformation in different directions of fibers in substantia nigra in Parkinson’s disease (PD). Methods There were 35 cases of PD and 37 cases of normal control group. After being performed by brain diffusion tensor imaging (DTI) scanning, the sequence was imported into 3DSlicense 5. 6. 0, and the diffusion module was used to implement pseudo color mapping based on FA, locate and segment substantia nigra, and use the substantia nigra mask as the tracking starting point. After forming tracing, fibers were imported into DTIANALYSIS 1.51, converting the RGB components into FA values for analysis, and visualized the analysis result . At the same time, fiber length, fiber density, and segmented FA point cloud percentage were compared. Results Compared with the normal group, the length of substantia nigra fibers in the PD group was shorter［(95.14±19.85) mm vs (115.99± 21.39) mm,P<0.01］, and there was a statistical difference between the two groups. There was no statistical difference in fiber density［(0.07 ± 0.05)/mm3 vs (0.10 ± 0.12)/mm3, P >0.05］ between control group and PD group. The percentage of FA segment point clouds in the PD group was lower than that in the normal group at 0. 9-1, but the principal component characteristics of the point cloud ratios in each FA segment were not significant. Conclusion Based on the transformation of RGB components into FA analysis, the length, density, and FA values of substantia nigra nerve fibers in PD patients can be quantified and visualized, providing a basis for the study of PD neural pathways.

导出引用

刘羽卿王小军季达峰孙海华徐晓露张新化. 黑质弥散张量RGB分量转化各向异性分数分析及可视化[J]. 解剖学报. 2025, 56(4): 459-465 https://doi.org/10.16098/j.issn.0529-1356.2025.04.011

LIU Yu-qing WANG Xiao-jun JI Da-feng SUN Hai-hua XU Xiao-lu ZHANG Xin-hua. Fractional anisotrophy analysis and visualization on the reverse computing of RGB components as diffusion tensor in substantia nigra[J]. Acta Anatomica Sinica. 2025, 56(4): 459-465 https://doi.org/10.16098/j.issn.0529-1356.2025.04.011

中图分类号： R322.81

参考文献

［1］Zhao ShY, Wang S, Dong HL. A viral tracing study on the efferent and afferent fiber connections of glutamatergic neurons in the central medial nucleus of the thalamus in mice ［J］. Journal of Neuroanatomy, 2019, 35(5): 463-469. (in Chinese)

赵世毅，王飒，董海龙.病毒示踪法研究小鼠丘脑中央内侧核内谷氨酸能神经元的传出和传入纤维联系［J］.神经解剖学杂志，2019,35（5）:463-469.

［2］Niu J, Yan RF, Yin HJ, et al. Study on the analysis of neural nuclei and white matter fibers in neonatal acute bilirubin encephalopathy using diffusion tensor imaging ［J］. Magnetic Resonance Imaging, 2023, 14(1): 67-71. (in Chinese)

牛劲, 闫瑞芳, 殷慧佳, 等. 扩散张量成像对新生儿急性胆红素脑病神经核团及脑白质纤维的分析研究［J］. 磁共振成像,2023,14(1):67-71.

［3］Zhou XX, Liao J, Liu YJ, et al. Study on the staging of Wilson’s disease based on imaging methods ［J］. Chinese Journal of Neuromedicine, 2023, 22(4): 368-373. (in Chinese)

周香雪,廖健,刘颖洁,等. 基于影像学方法的肝豆状核变性疾病阶段划分研究［J］. 中华神经医学杂志,2023,22(4):368-373.

［4］Han SL, Zhang J. A diffusion tensor imaging study on the effect of arcuate fasciculus microstructural changes on mild cognitive impairment ［J］. Chinese Journal of New Clinical Medicine, 2024, 17(1): 87-93. (in Chinese)

韩松霖,张健. 弓状束微结构改变对轻度认知功能影响的DTI研究［J］. 中国临床新医学,2024,17(1):87-93.

［5］Song J, Mayila·Xiakan, Nie CK, et al. Evaluation of white matter recovery after carotid sympathetic nerve plexus stripping in children with hemiplegic cerebral palsy using diffusion tensor imaging ［J］. China Medical Equipment, 2023, 20(8): 57-60. (in Chinese)

宋娟,玛依拉·夏侃,聂聪科,等. 磁共振弥散张量成像对偏瘫型脑瘫患儿颈总动脉交感神经网剥脱术后脑白质恢复的评价分析［J］. 中国医学装备,2023,20(8):57-60.

［6］Li J. Diagnostic value of whole-brain 3D-ASL perfusion imaging combined with DTI in patients with brain glioma ［J］. Medical Equipment, 2024, 37(11): 13-16. (in Chinese)

李晶. 全脑3D-ASL灌注成像联合DTI对脑胶质瘤患者的诊断价值［J］. 医疗装备,2024,37(11):13-16.

［7］Zhang J. Application of DTI in treatment selection and prognosis evaluation of moderate cerebral hemorrhage ［J］. Journal of Bingtuan Medicine, 2023, 21(3): 27-28. (in Chinese)

张俊. DTI在中等量脑出血治疗方案选择及预后评估中的应用［J］. 兵团医学,2023,21(3):27-28.

［8］Zhang XL, Zhang FX, Yang JH, et al. Quantitative evaluation of cerebral microbleeds in hypertensive patients using ESWAN and DTI sequences ［J］. Modern Medical Imaging, 2023, 32(6): 1019-1023. (in Chinese)

张新仑,张凤翔,杨金花,等. ESWAN及DTI序列在高血压患者脑微出血中的定量评估［J］. 现代医用影像学,2023,32(6):1019-1023.

［9］Jiang H, Van Zijl PC, Kim J, et al. DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking［J］. Comput Methods Programs Biomed, 2006, 81(2):106-116.

［10］Luo QY. Analysis of microstructural changes in the brain of post-stroke motor aphasia using MRI DTI and fMRI techniques ［D］. Urumqi: Xinjiang Medical University, 2021. (in Chinese)

罗巧雅. 磁共振DTI及fMRI技术对卒中后运动性失语脑微观结构变化的分析［D］. 乌鲁木齐：新疆医科大学,2021.

［11］Yang JP, Liu YH, Li XT, et al. Application of 3DSlicer software diffusion tensor imaging fiber tractography in acoustic neuroma surgery ［J］. Journal of Brain and Nerve Diseases, 2021, 29(6): 346-351. (in Chinese)

杨吉鹏,刘英辉,李晓瞳,等. 3DSlicer软件弥散张量成像纤维束追踪技术在听神经瘤手术中的应用［J］. 脑与神经疾病杂志,2021,29(6):346-351.

［12］Yang D. Evaluation of white matter fiber anterior and lateral tracts in early patients with myelopathic cervical spondylosis based on 3Dslicer diffusion tensor imaging ［D］. Changchun: Jilin University, 2023. (in Chinese)

杨丹. 基于3Dslicer的弥散张量成像对脊髓型颈椎病早期患者白质纤维前索和侧索的评估作用［D］. 长春:吉林大学,2023.

［13］Li Y, Fan GH, Zhang ZhY, et al. Application of magnetic resonance diffusion tensor imaging in evaluating the changes of anisotropy scores in olfactory-related brain regions in Parkinson’s disease ［J］. Chinese Journal of Hemorheology, 2018, 28(1): 96-100. (in Chinese)

李洋,范国华,张追阳,等. 磁共振弥散张量成像在评估帕金森病嗅觉相关脑区各向异性分数值变化的应用价值研究［J］. 中国血液流变学杂志,2018,28(1):96-100.

［14］Huang XF, He Q, Ruan XH, et al. Structural connectivity from DTI to predict mild cognitive impairment in denovo Parkinson’s disease［J］. NeuroImage Clin,2024, 41:103548.

［15］Yu Y, Wang K, Jia J, et al. Evaluation of Parkinson’s disease mouse model prepared by injecting different doses of 6-OHDA into the striatum ［J］. Journal of Capital Medical University, 2015, 36(2): 255-261. (in Chinese)

于燕,王可,贾军,等.纹状体注射不同剂量6-OHDA制备帕金森病小鼠模型的评价［J］.首都医科大学学报, 2015, 36(2):255-261.

［16］Zeng XP, Wu JJ, Sun LJ. Design and implementation of normal distribution test for plant fruit weight based on deep learning ［J］. China Information Technology Education, 2022, (11): 72-75. (in Chinese)

曾祥潘,吴俊杰,孙丽君.基于深度学习的植物果实重量正态分布检验设计与实现［J］.中国信息技术教育, 2022, (11):72-75.

［17］Fang XZh. Chi-square distribution and chi-square test ［J］. China Statistics, 2022, (5): 29-31. (in Chinese)

房祥忠.卡方分布与卡方检验［J］.中国统计,2022, (5):29-31.

［18］Pimer LJ, Leslie RA, Phillips G, et al. Aberrant corticospinal tract characteristics in prodromal PD: a diffusion tensor imaging study［J］. Clin Park Relat Disord, 2022, 8:100182.

［19］Caligiuri ME, Quattrone A, Bianco MG, et al. Corpus callosum damage in PSP and unsteady PD patients: A multimodal MRI study［J］. Neuroimage Clin, 2024,43:103642.