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A METHOD TO INVESTIGATE THE SIZE AND SHAPE VARIATION OF THE LATERAL VENTRICLES WITH AGE

机译:一种探讨侧脑室与年龄的侧脑室尺寸和形状变化的方法

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Various structures within the brain are associated with aging. The ventricles are known to enlarge with age as the cerebrospinal fluid (CSF) increases. The objective of this study is to develop a semi-automated method for acquiring landmark data representing brain structures, such as the lateral ventricles, to map size and shape variation with age. The methodology developed is a multiple-step processing of magnetic resonance images (MR!) in a brain atlas. The MRI data was collected for various ages (20-100 years old). Group-specific templates were created by decade. Each template was normalized to an atlas in Montreal Neurological Institute (MNI) space using a high-dimensional non-linear transformation procedure. A manually segmented label map of the lateral ventricles in MNI space was applied to segment the structure and establish homologous landmarks surrounding the external axial surface of the structure. The homologous landmarks were transformed back to patient space. A Generalized Procrustes Analysis (GPA) was completed for the homologous landmarks to determine the size and shape differences. The coordinate locations were regressed onto age, which generated a model predicting the landmark location for each age. A significant non-linear increase was observed in the anterior/posterior, medial/lateral, and cranial/caudal directions along the lateral ventricle, with an exponential increase after age 40 (P<0.0001). This novel method of semi-automated landmark identification will allow for the creation of mapping functions to describe age-associated changes of the brain. This work is important and may lead to a better understanding of how brain morphology is correlated to the biomechanics of traumatic brain injury.
机译:大脑内的各种结构与老化相关。已知心室随着脑脊液(CSF)增加而随着年龄而扩大。本研究的目的是开发一种半自动方法,用于获取代表脑结构的地标数据,例如横向心室,以与年龄映射尺寸和形状变化。该方法开发的是磁共振图像(MR!)在大脑地图集中的多步处理。为各个年龄段收集MRI数据(20-100岁)。特定于组的模板是由十年创建的。使用高维非线性变换过程将每个模板标准化为蒙特利尔神经学院(MNI)空间中的地图集。应用MNI空间中的横向心室的手动分段标签图以分割结构并建立围绕结构的外部轴向表面的同源地标。同源地标转换回患者空间。为同源地标,完成了广义的营养分析(GPA)以确定尺寸和形状差异。坐标位置被回归到年龄,这产生了预测每个年龄的地标位置的模型。在横向心室的前/后,内侧,内侧,内侧,内侧/横向和颅骨方向上观察到显着的非线性升高,在40岁以下(P <0.0001)后指数增加。这种半自动地标识别的新方法将允许创建映射函数来描述大脑的年龄相关变化。这项工作很重要,可能导致更好地理解脑形态与创伤性脑损伤的生物力学相关。

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