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Diffusion kurtosis model to evaluate the cochlear nerve deficiency in MRI images

机译:扩散峰度模型评估MRI图像中的耳蜗神经缺失

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Cochlear nerve deficiency (CND) is one of the primary causes of congenital hearing loss experienced by the new-born babies. The objective of this study was to assess the benefit of new diffusion kurtosis method in evaluating neuronal integrity of the cochlear nerve in order to assess cochlear nerve deficiency. In this study, the fourth-order kurtosis tensor has been estimated using the kurtosis model and the parameters such as mean kurtosis, axial kurtosis and radial kurtosis has been computed for the assessment of demyelination status of cochlear nerve. Estimations of these kurtosis parameters were carried out in the locations of internal auditory canal (IAC), lateral lemniscus (LL) and inferior colliculus (IC). The adaptive wavelet transform system was used to remove the rician noise from the diffusion data used for estimation the kurtosis parameters in the kurtosis model. The estimated kurtosis parameters found to be lower in cochlear nerve deficiency patients than normal control cases. The kurtosis parameters found to be capable of providing new tissue microstructural information and neuronal integrity and their demyelination status of cochlear nerve.
机译:耳蜗神经缺乏症(CND)是新生婴儿先天性听力损失的主要原因之一。这项研究的目的是评估新的扩散峰度方法在评估耳蜗神经的神经完整性方面的益处,以评估耳蜗神经的缺乏。在这项研究中,使用峰度模型估计了四阶峰度张量,并计算了诸如平均峰度,轴向峰度和径向峰度之类的参数以评估耳蜗神经的脱髓鞘状态。这些峰度参数的估计是在内部听觉管(IAC),侧弯韧带(LL)和下丘(IC)的位置进行的。自适应小波变换系统用于从扩散数据中去除rician噪声,该扩散数据用于估计峰度模型中的峰度参数。发现耳蜗神经缺损患者的估计峰度参数低于正常对照组。发现峰度参数能够提供新的组织微结构信息和神经元完整性及其耳蜗神经的脱髓鞘状态。

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