Brain morphometry in adult: volumetric visualization as a tool in image processing

IF 0.5 Q4 CLINICAL NEUROLOGY Revista Mexicana de Neurociencia Pub Date : 2021-05-31 DOI:10.24875/RMN.20000074
Katherine S. Hernandez-Cortés, Adrián A. Mesa-Pujals, Odalis García-Gómez, P. Montoya
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引用次数: 1

Abstract

Brain morphometry is the discipline that provides tools for the measurement of the structural properties of the brain according to the type of imaging data used, characterizing focal brain morphology, functioning, and neurodegenerative processes related to age and gender, as well as local morphological alterations in neurological and psychiatric disorders. An overview of the influence of age and gender on brain morphometry will be provided. An analysis of the scientific literature on some neuroimaging techniques, their potential in the diagnosis of degenerative diseases and the experience of their use in Cuba is presented. Concepts such as: brain morphometry and its main techniques, volumetric and its objective in the field of medicine will be reaffirmed. Image segmentation methods and their clinical correlation will be addressed. The studies that were included in this review are current and located in the Science Direct, PubMed, and SciELO databases; original research reports were considered and the review of specialized books and review articles were included given their relevance in the field. It is concluded that age and sex are factors that affect brain morphometry. Medical imaging is an effective way to look at the anatomy of the brain. Voxel-based morphometric studies detect structural changes in healthy and pathological stages of life. Volumetric visualization is a tool that provides useful information related to the patient and their care. However, there are problems with the uniformity of image segmentation algorithms.
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成人大脑形态测量:体积可视化作为图像处理工具
脑形态计量学是一门根据所使用的成像数据类型为测量大脑结构特性提供工具的学科,它表征了与年龄和性别相关的局灶性脑形态、功能和神经退行性过程,以及神经和精神疾病的局部形态改变。将对年龄和性别对大脑形态计量学的影响进行综述。分析了一些神经成像技术的科学文献,它们在退行性疾病诊断中的潜力,以及它们在古巴的使用经验。诸如脑形态计量学及其主要技术、体积计量学及其在医学领域的目标等概念将得到重申。将讨论图像分割方法及其临床相关性。本综述中包含的研究是最新的,位于Science Direct、PubMed和SciELO数据库中;考虑到原始研究报告,并考虑到其在该领域的相关性,纳入了对专业书籍和评论文章的评论。结论:年龄和性别是影响脑形态计量学的因素。医学成像是观察大脑解剖结构的有效方法。基于体素的形态计量学研究检测生命健康和病理阶段的结构变化。体积可视化是一种提供与患者及其护理相关的有用信息的工具。然而,图像分割算法的一致性存在问题。
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来源期刊
Revista Mexicana de Neurociencia
Revista Mexicana de Neurociencia CLINICAL NEUROLOGY-
自引率
0.00%
发文量
28
审稿时长
28 weeks
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