Holden M, Steen E, Lundervold A
Department of Pattern Recognition and Image Processing, Norwegian Computing Center, Oslo.
Comput Med Imaging Graph. 1995 Mar-Apr;19(2):171-83. doi: 10.1016/0895-6111(94)00031-7.
In this study we focus on the problem of segmentation and visualization of soft tissue structures in three-dimensional (3D) magnetic resonance (MR) imaging. We introduce a classification method which is a combination of a recently proposed contour detection algorithm and Haslett's contextual classification method extended to 3D. This classification method is used in the classification step of a rendering model suggested by Drebin et al. for visualizing normal and pathological tissue structures in the brain. We evaluate the combination of these two methodologies, and identify some problems which have to be solved in order to develop a clinical useful tool.
在本研究中，我们专注于三维（3D）磁共振（MR）成像中软组织结构的分割与可视化问题。我们引入了一种分类方法，该方法是最近提出的轮廓检测算法与扩展到3D的哈斯利特上下文分类方法的结合。这种分类方法用于德雷宾等人提出的渲染模型的分类步骤中，以可视化大脑中的正常和病理组织结构。我们评估了这两种方法的结合，并确定了为开发临床有用工具而必须解决的一些问题。
