Barber D C
Phys Med Biol. 1976 Sep;21(5):792-803. doi: 10.1088/0031-9155/21/5/008.
Most of the scan processing methods used to date are unable to distinguish between normal and abnormal features. This paper describes a method of constructing a particular orthogonal transform from a set of normal images, the method of principal components, which may be used selectively to filter out normal features, leaving behind abnormal features. The method has been applied to brain scans and has been implemented on a small digital computer system with magnetic disc.
迄今为止使用的大多数扫描处理方法都无法区分正常特征和异常特征。本文描述了一种从一组正常图像构建特定正交变换的方法，即主成分分析法，该方法可用于有选择地滤除正常特征，只留下异常特征。该方法已应用于脑部扫描，并已在配备磁盘的小型数字计算机系统上实现。
