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Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths

机译:沿测地线的白色物质纤维特性的定量分析

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摘要

Diffusion Tensor Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs postprocessing by adequate image processing and visualization tools. Analysis of DTI in clinical studies so far use manual definition of regions or interest or image matching followed by voxel-based analysis. This paper presents a novel concept that extracts major fiber bundles by tractography and provides a statistical analysis of diffusion properties along fibers, i.e. geodesic paths within the three-dimensional brain image. Fiber tracing thus serves as a sophisticated, efficient method for denning complex regions of interests along major fiber tracts not accessible otherwise. Fiber bundles extracted from a set of subjects are parametrized by arc-length and mapped to a common coordinate system centered at well-defined anatomical landmarks. The description of the methodology is guided by the example of measuring diffusion properties along the left and right cingulate. We also present preliminary results from an ongoing clinical neonatal study that studies early brain development.
机译:扩散张量成像(DTI)正在成为一种常规的磁共振技术,用于研究白质特性和病理引起的纤维完整性改变。先进的MRI技术需要通过适当的图像处理和可视化工具进行后处理。迄今为止,在临床研究中对DTI的分析使用手动定义区域或兴趣或图像匹配,然后进行基于体素的分析。本文提出了一种新颖的概念,该方法可通过tractography提取主要的纤维束,并提供沿纤维的扩散特性的统计分析,即三维脑图像中的测地路径。因此,纤维追踪是一种复杂,有效的方法,可以沿着其他无法访问的主要纤维束确定感兴趣的复杂区域。从一组对象中提取的纤维束通过弧长进行参数设置,并映射到以明确定义的解剖界标为中心的公共坐标系。该方法的描述以测量沿左扣带和右扣带的扩散特性为例。我们还提供了一项正在进行的临床新生儿研究的初步结果,该研究研究了早期大脑的发育。

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