文档介绍：myocardial segmentation algorithms, and the results of two segmentation methods pared by us. Macroscopically speaking, our approach is based on supervised machine learning for location and segmentation of anatomical structures in cardiac CT images. By learning the relationship between anatomical structure and image information, we can build the random forest model, then uses it to analyze the unknown image.
Key words: computed tomography images, random forests model, anatomical landmark localization, myocardial segmentation
目 录
中文摘要.........................................................................................................................I
英文摘要....................................................................................................................... II
1 绪论.......................................................................................................................... 1
课题的研究背景和意义.............................................................................................. 1
医学图像坐标系........................................................................................................ 2
坐标体系介绍...................................................................................................... 2
图像变换............................................................................................................. 4
医学图像预处理........................................................................................................ 6
窗口技术............................................................................................................. 6
配准对齐............................................................................................................. 7
插值采样............................................................................................................. 9
本文内容结构安排................................................................................................... 10
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