Cline H E, Dumoulin C L, Hart H R, Lorensen W E, Ludke S
General Electric Company, Corporate Research and Development, Schenectady, New York 12301.
Magn Reson Imaging. 1987;5(5):345-52. doi: 10.1016/0730-725x(87)90124-x.
We present high resolution three dimensional (3D) connectivity, surface construction and display algorithms that detect, extract, and display the surface of a brain from contiguous magnetic resonance (MR) images. The algorithms identify the external brain surface and create a 3D image, showing the fissures and surface convolutions of the cerebral hemispheres, cerebellum, and brain stem. Images produced by these algorithms also show the morphology of other soft tissue boundaries such as the cerebral ventricular system and the skin of the patient. For the purposes of 3D reconstruction, our experiments show that T1 weighted images give better contrast between the surface of the brain and the cerebral spinal fluid than T2 weighted images. 3D reconstruction of MR data provides a non-invasive procedure for examination of the brain surface and other anatomical features.
我们展示了高分辨率三维（3D）连接性、表面构建和显示算法，这些算法可从连续的磁共振（MR）图像中检测、提取并显示大脑表面。这些算法可识别大脑外部表面并创建三维图像，展示大脑半球、小脑和脑干的裂隙及表面脑回。这些算法生成的图像还能显示其他软组织边界的形态，如脑室系统和患者的皮肤。为进行三维重建，我们的实验表明，与T2加权图像相比，T1加权图像在大脑表面和脑脊液之间能提供更好的对比度。MR数据的三维重建为检查大脑表面和其他解剖特征提供了一种非侵入性方法。
