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Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI

机译:基于多参数定量MRI的大脑中髓鞘和水肿的存在建模

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摘要

The aim of this study was to present a model that uses multi-parametric quantitative MRI to estimate the presence of myelin and edema in the brain. The model relates simultaneous measurement of R1 and R2 relaxation rates and proton density to four partial volume compartments, consisting of myelin partial volume, cellular partial volume, free water partial volume, and excess parenchymal water partial volume. The model parameters were obtained using spatially normalized brain images of a group of 20 healthy controls. The pathological brain was modeled in terms of the reduction of myelin content and presence of excess parenchymal water, which indicates the degree of edema. The method was tested on spatially normalized brain images of a group of 20 age-matched multiple sclerosis (MS) patients. Clear differences were observed with respect to the healthy controls: the MS group had a 79 mL smaller brain volume (1069 vs. 1148 mL), a 38 mL smaller myelin volume (119 vs. 157 mL), and a 21 mL larger excess parenchymal water volume (78 vs. 57 mL). Template regions of interest of various brain structures indicated that the myelin partial volume in the MS group was 1.6 ± 1.5% lower for gray matter (GM) structures and 2.8 ± 1.0% lower for white matter (WM) structures. The excess parenchymal water partial volume was 9 ± 10% larger for GM and 5 ± 2% larger for WM. Manually placed ROIs indicated that the results using the template ROIs may have suffered from loss of anatomical detail due to the spatial normalization process. Examples of the application of the method on high-resolution images are provided for three individual subjects: a 45-year-old healthy subject, a 72-year-old healthy subject, and a 45-year-old MS patient. The observed results agreed with the expected behavior considering both age and disease. In conclusion, the proposed model may provide clinically important parameters, such as the total brain volume, degree of myelination, and degree of edema, based on a single qMRI acquisition with a clinically acceptable scan time.
机译:这项研究的目的是提出一种使用多参数定量MRI来评估大脑中髓磷脂和水肿的模型。该模型将同时测量R1和R2弛豫率以及质子密度与四个部分体积的隔室组成,这些部分由髓磷脂部分体积,细胞部分体积,游离水部分体积和多余的实质水部分体积组成。使用一组20个健康对照的空间归一化大脑图像获得模型参数。根据髓磷脂含量减少和实质水过多的存在对病理性大脑进行建模,这表明水肿程度。该方法在一组20位年龄匹配的多发性硬化症(MS)患者的空间归一化大脑图像上进行了测试。与健康对照组相比,观察到明显差异:MS组的大脑体积缩小了79µmL(1069比1148µmL),髓磷脂体积缩小了38µmL(119 vs. 157µmL),实质过量21µmL。水量(78对57 mL)。各种大脑结构的目标模板区域表明,MS组的髓磷脂部分体积对于灰质(GM)结构降低了1.6±1.5%,对于白质(WM)结构降低了2.8±1.0%。 GM的实质水含量偏高9%±10%,WM则高5%±2%。手动放置的ROI表示使用模板ROI的结果可能由于空间归一化过程而遭受了解剖细节的损失。为三个个体对象提供了该方法在高分辨率图像上的应用示例:一个45岁的健康对象,一个72岁的健康对象和一个45岁的MS患者。考虑到年龄和疾病,观察结果与预期行为一致。总之,基于具有临床可接受的扫描时间的单次qMRI采集,建议的模型可以提供临床上重要的参数,例如总脑容量,髓鞘化程度和水肿程度。

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