认知疾病脑MRI图像中灰质和白质区域的分割工具

Ayush Goyal, Manish K. Arya, R. Agrawal, A. Jothi, Ashwani K. Dubey, Sunayana Tirumalasetty, G. Hossain, R. Challoo
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引用次数: 3

摘要

本研究提出了一种通过计算机提取大脑扫描中的脑白质和灰质神经组织区域来预测影响神经损伤、退行性变或退化的大脑标本高级认知活动的方法。这些区域的容量或数量的减少与患有神经损伤、退化或各种神经系统疾病的大脑标本中新苍白质的改变成正比。特别是,新苍白球在脑白质和灰质神经组织区边缘的切片宽度可以用来评估样本脑的神经损伤,以评估神经功能损伤。本研究提出了一种程序性算法程序,用于从大脑标本的大脑扫描中提取大脑白色和灰色神经组织区域,作为计算机程序实施,以支持神经学专家评估大脑成像过程中神经和大脑物质的生理减少。该程序也可以很容易地在医院脑成像部门或成像中心部门的系统上实施。本程序采用本文所述的程序性分步方法和技术对脑部扫描进行完全计算机化分析,并在脑部扫描中可视化标记的脑白色和灰色神经组织区域,从而提供神经系统疾病和神经损伤阶段的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Segmentation Tool for Extracting Gray and White Matter Regions in Brain MRI Images for Cognitive Diseases
This research work suggests a method for prognosis of neurologic damage affecting advanced cognition activities of specimen brain suffering from neural impairment, degeneration, or deterioration with computerized extraction of cerebral white and gray neural tissue areas in cerebral scans. Reduction of the capacity or amount of these areas is proportional to alteration in the neo-pallium in specimen brain suffering from neural impairment, degeneration, or deterioration, or various neurologic conditions. Particularly, the slice width of the neo-pallium across the edges of the cerebral white and grey neural tissue areas can be used in assessing the neural damage in a specimen brain for evaluating the neurologic impairment. The research herewith suggests a procedural algorithmic program for the extraction of the cerebral white and grey neural tissue areas from cerebral scans of specimen brains implemented as a computer program for supporting neurological experts in evaluating physiological reduction in neural and cerebral matter from cerebral imaging sessions. This program can also be easily implemented on the systems within the brain imaging department or division of imaging centers in hospitals. This program could provide prognosis of neurologic disease and the stage of neural damage by running the completely computerized analysis of cerebral scans with the procedural step-wise methods and techniques described in this paper, and visualizing the marked cerebral white and grey neural tissue areas within the cerebral scans.
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