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Updated: May 23, 2025

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

概率绘制和人类大脑干的自动细分白物质捆绑人类大脑干的概率绘制和自动细分

Mark D Olchanyi^1,2,3, David R Schreier^1,2,4, Jian Li^2,5

¹Neuroscience Statistics Research Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.

medRxiv : the preprint server for health sciences

|May 19, 2025

概括

研究人员开发了BrainStem捆绑工具 (BSBT),用于自动化脑干白质细分. 这个工具通过绘制关键的神经通路来帮助理解神经疾病和昏迷恢复.

关键词:

大脑干的大脑干计算机科学计算机科学扩散式核磁共振成像 (MRI)机器学习机器学习物理科学物理科学分段化分段化分段化分段化曲谱学曲谱学曲谱学曲谱学曲谱学

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科学领域:

神经成像和Connectomics的使用
扩散核磁共振成像 (MRI) 轨道图.
计算神经科学是一种神经科学.

背景情况:

大脑干白质捆绑对重要功能至关重要,但由于它们的小尺寸和复杂形态,绘制地图具有挑战性.
现有的神经成像方法缺乏对这些必要的大脑干结构的自动追踪工具.
准确的测绘对于理解脑干连接学和神经系统疾病至关重要.

研究的目的:

开发一种自动化的方法来对面脑干中关键白质束进行细分.
通过不同的成像协议和样本类型验证该工具的稳定性.
调查自动脑干绘图在神经疾病和患者预后中的实用性.

主要方法:

使用杆扩散MRI通道图来创建BrainStem捆绑工具 (BSBT).
在定制的概率纤维图上使用一个卷积神经网络,用于自动细分八个脑干白质束.
经过验证的BSBT使用体内和体外人脑扫描与组织学相关性.

主要成果:

BSBT成功地对八个关键的面向脑干白质束进行了自动细分.
在各种扩散MRI采集协议中表现出稳健性.
在阿尔茨海默病,帕金森病和创伤性脑损伤队伍中,确定了脑干白质捆中的明显变化.
在昏迷恢复的纵向研究中展示了预后效用.

结论:

脑干捆绑工具 (BSBT) 提供了一个强大的,自动化解决方案,用于绘制脑干白质的地图.
在神经疾病中,BSBT促进大脑干白质的大规模分析.
这种工具具有很大的潜力,可以促进我们对大脑干功能及其在疾病和康复中的作用的理解.