扩散张量成像(DTI)在脑肿瘤诊断中的可视化应用

A. V., Anzer M Muhammed, Bijoy K Edet
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引用次数: 0

摘要

磁共振成像(MRI)技术在脑肿瘤诊断中非常有用。然而,MRI无法发现脑肿瘤周围白质束的完整性和位置。扩散张量成像(Diffusion Tensor Imaging, DTI)是一种新兴的高分辨率神经纤维取向、各向异性及其空间密度信息的成像技术。DTI是一种非侵入性技术,通过跟踪水分子在脑组织中的扩散来实现。比较了三种不同的DTI可视化技术,即标量指数、张量符号和神经束成像在脑肿瘤诊断中的应用,并比较了它们的主要特点和不足。这些分析有助于确定脑肿瘤的确切位置和影响区域白质束的变化。应用这三种可视化技术对脑肿瘤引起的白质结构变化进行了分析。每种技术都调整了影响白质结构的参数,得到的结果比以前的研究更准确。根据肿瘤的各向异性和扩散参数准确定位肿瘤的囊性和实性部分。通过提取胼胝体和扣带束,在患处得到两种不同类型的白质模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of Diffusion Tensor Imaging (DTI) For Brain Tumor Diagnosis
Magnetic Resonance Imaging (MRI) technique is very useful for brain tumor diagnosis. However MRI could not find the integrity and location of white matter tracts around the brain tumors. Diffusion Tensor Imaging (DTI) is an emerging technology that gives information about orientation of nervous fiber, anisotropy and their spatial density, with high resolution. DTI is a noninvasive technique, performed by tracking the diffusion of water molecules through brain tissues. Three different visualization techniques of DTI namely scalar indices, tensor glyph, and tractography were used for brain tumor diagnosis and their main characteristics and drawbacks were compared. These analyses were helpful for determining the exact location of brain tumor and the changes in the white matter bundle in affected area. The variation of white matter structure due to brain tumor is analyzed using these three visualization techniques. Parameters influencing the white matter structure were tuned in each technique, which gives more accurate results than the previous studies. The cystic and the solid part of the tumor were accurately located based on the anisotropic and diffusivity parameters. The two different types of white matter pattern are obtained in affected area by extracting the corpus callosum and cingulum bundle.
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