Friedlinger M, Schad L R, Blüml S, Tritsch B, Lorenz W J
Department of Radiology, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany.
Comput Med Imaging Graph. 1995 Mar-Apr;19(2):185-205. doi: 10.1016/0895-6111(94)00045-e.
Fast magnetic resonance imaging sequences are an excellent basis for the volumetry of the human brain. We present a concept for an automatic three-dimensional (3D) segmentation and volumetry which provides rapid image processing along with minimal requirements of manual interaction on low-end hardware platforms. The concept is based on standard image segmentation techniques and provides for the determination of the total brain tissue and cerebrospinal fluid volumes from the input data base, a T1- and a T2-weighted 3D image data cube. We used a 3D MPRAGE sequence for the T1- and a 3D PSIF sequence for the T2-weighted images; both 3D image data cubes consisted of 128 sagittal image slices with a voxel size of 1.0 x 1.0 x 1.2 mm3. The segmentation and volumetry tool was applied to clinical image data of volunteers and Alzheimer patients in order to prove its stability.
快速磁共振成像序列是进行人脑容积测量的良好基础。我们提出了一种自动三维（3D）分割和容积测量的概念，该概念在低端硬件平台上能够实现快速图像处理，同时对手动交互的要求极低。该概念基于标准图像分割技术，可根据输入数据库（一个T1加权和一个T2加权的3D图像数据立方体）确定全脑组织和脑脊液的体积。我们使用3D MPRAGE序列获取T1加权图像，使用3D PSIF序列获取T2加权图像；两个3D图像数据立方体均由128个矢状图像切片组成，体素大小为1.0×1.0×1.2 mm3。为了证明其稳定性，将分割和容积测量工具应用于志愿者和阿尔茨海默病患者的临床图像数据。
