Unified Framework for Oculomotor Nerve Reconstruction: Tractography-Based Anatomical Assessment

IF 2.3 4区 医学 Q3 CLINICAL NEUROLOGY
Jiahao Huang, Qingrun Zeng, Ye Wu, Jiawei Zhang, Mengjun Li, Lei Xie, Mingchu Li, Yuanjing Feng
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引用次数: 0

Abstract

Background and Purpose

The oculomotor nerve (OCN) innervates the eye muscles and can be affected by inflammatory, compressive, and pathological conditions. Diffusion MRI (dMRI) tractography shows the potential ability to describe the trajectory of the OCN. However, reconstruction of the OCN in the cavernous sinus is still challenging due to the complex tissue environment at the skull base.

Methods

In this study, we integrated anatomical knowledge to propose a unified framework for OCN tractography, using 45 dMRI datasets from the Human Connectome Project subjects aged 22–36 years and data from four neurosurgical patients aged 41–53 years with visual behavior disorders. We first employed automatically labeled direct and indirect anatomical landmarks as reference locations for individualized tractography. Next, we compared five widely used cranial nerve reconstruction algorithms to assess the most suitable method for OCN reconstruction. Finally, we tested the combination of the unified framework and the optimized tractography method in tumor patients.

Results

We found that unscented Kalman filter (UKF)-2T and probabilistic tractography outperformed other methods in OCN fiber tractography, owing to their “step-by-step” fiber direction computation and multidirectional consideration, respectively. In neurosurgical patients, UKF-2T effectively reconstructed OCN fibers around lesions.

Conclusion

Our study provides valuable insights for researchers and clinicians in the diagnosis and treatment of OCN-related diseases and neurosurgeries.

动眼神经重建的统一框架:基于神经束造影的解剖评估
背景与目的动眼神经(OCN)支配眼部肌肉,可受到炎症、压迫和病理状况的影响。扩散MRI (dMRI)示踪显示了描述OCN轨迹的潜在能力。然而,由于颅底复杂的组织环境,海绵窦OCN的重建仍然具有挑战性。方法在本研究中,我们整合解剖学知识,使用来自22-36岁的人类连接组计划受试者的45个dMRI数据集和4个41-53岁的视觉行为障碍神经外科患者的数据,提出了一个统一的OCN神经束造影框架。我们首先采用自动标记的直接和间接解剖标志作为个体化牵引造影的参考位置。接下来,我们比较了五种广泛使用的颅神经重建算法,以评估最适合OCN重建的方法。最后,我们在肿瘤患者中测试了统一框架和优化的肛管造影方法的结合。结果我们发现unscented Kalman filter (UKF)-2T和probability tractgraphy在OCN纤维tractgraphy中表现优于其他方法,因为它们分别具有“一步一步”的纤维方向计算和多向考虑。在神经外科患者中,UKF-2T可有效重建病变周围的OCN纤维。结论本研究为研究人员和临床医生在ocn相关疾病的诊断和治疗以及神经外科手术提供了有价值的见解。
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来源期刊
Journal of Neuroimaging
Journal of Neuroimaging 医学-核医学
CiteScore
4.70
自引率
0.00%
发文量
117
审稿时长
6-12 weeks
期刊介绍: Start reading the Journal of Neuroimaging to learn the latest neurological imaging techniques. The peer-reviewed research is written in a practical clinical context, giving you the information you need on: MRI CT Carotid Ultrasound and TCD SPECT PET Endovascular Surgical Neuroradiology Functional MRI Xenon CT and other new and upcoming neuroscientific modalities.The Journal of Neuroimaging addresses the full spectrum of human nervous system disease, including stroke, neoplasia, degenerating and demyelinating disease, epilepsy, tumors, lesions, infectious disease, cerebral vascular arterial diseases, toxic-metabolic disease, psychoses, dementias, heredo-familial disease, and trauma.Offering original research, review articles, case reports, neuroimaging CPCs, and evaluations of instruments and technology relevant to the nervous system, the Journal of Neuroimaging focuses on useful clinical developments and applications, tested techniques and interpretations, patient care, diagnostics, and therapeutics. Start reading today!
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