图像后处理的新兴应用 脑血管疾病的 3D 可视化。

IF 2.5 4区 医学 Q3 NEUROSCIENCES
Jigen Dong, Shuai Zhou, Lipeng Jian, Lide Jin, Shengquan Huang
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引用次数: 0

摘要

颅内血管相关疾病是神经外科的常见病。这些疾病的病因复杂多样,诊断和治疗方法也不明确。三维图像后处理技术是一项新兴技术,它利用图像后处理软件将脑部图像扫描转化为数字模型,从而建立相关区域的三维视图。脑血管疾病患者大脑的三维可视化可以更直观地检查病变的局部解剖结构,以及病变与周围神经、脑组织和颅骨之间的毗邻关系。这样就能为术前规划提供依据,更准确地诊断脑血管疾病,提高手术治疗的安全性。本综述总结了目前有关脑血管疾病的文献,以及三维图像后处理技术在不同脑血管疾病中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging Applications of Image Post-Processing 3D Visualisation for Cerebrovascular Diseases.

Intracranial vascular-related diseases are a common occurrence in neurosurgery. They have complex and diverse pathogeneses; further, their diagnosis and treatment remain unclear. Three-dimensional image post-processing technology is an emerging technology that involves converting a brain image scan into a digital model using image post-processing software, thus establishing a 3D view of the region of interest. Three-dimensional visualisation of the brains of patients with cerebrovascular diseases can allow a more intuitive examination of the local anatomy of the lesion as well as the adjacency between the lesion and peripheral nerves, brain tissue, and skull bones. Subsequently, this informs pre-operative planning, allows more accurate diagnosis of cerebrovascular diseases, and improves the safety of surgical treatment. This review summarised the current literature regarding cerebrovascular diseases and the application of 3D image post-processing technology in different cerebrovascular diseases.

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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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