A Research of Generation and Data Compression of Medical Images Using Computers

本研究针对医学图像处理中最重要的主题之一，即“医学图像的生成与数据压缩”，开发了基本的图像处理方法。结果如下：医学图像的生成方法(1)利用多个切片数据（如CT图像）插值重建三维物体的方法。(2)利用x射线胶片获得的复杂密度等高线重建原始三维物体的方法。(3)利用Hilbert扫描从体数据快速生成四叉树数据结构的方法。医学图像的数据压缩方法(1)一种有效的抖动二值图像数据压缩方法。(2)一种数据压缩方法，对包含较大同色区域的图像特别有用。(3)一种利用希尔伯特扫描技术快速扫描大型高密度图像的方法。(4)一种适用于医学成像系统硬拷贝仪器的数据压缩方法。(5)灵活执行数据压缩的神经网络系统。(6)一种解码图像的降噪方法，将给定图像划分为小的八边形区域。(7)基于插值的不连续静止图像平滑运动图像生成方法。(8)为保障患者个人数据安全，采用字符数据与线条图混合的方法。

This research developed basic image processing methods concerned with one of the most important themes of medical image processing, i. e., "generation and data compression of medical images". The results are follows.1. Generation methods of medical images(1) A reconstruction method for the three dimensional object using interpolation of several sliced data such as CT images.(2) A method which reconstructs original three dimensional objects from complex density contour lines obtained from X-ray films.(3) A high speed generation method of quad-tree data structures from volume data using a kind of Hilbert scan.2. Data compression methods of medical images(1) An efficient data compression method for dithered binary images.(2) A data compression method being especially useful for images containing large same color areas.(3) A fast scanning method of large and high density images using a kind of Hilbert scan.(4) A data compression method being appropriate for hard copy instruments of medical imaging systems.(5) A neural network system executing data compression flexibly.(6) A noise reduction method for decoded images dividing a given image into small octagonal regions.(7) A generation method of smooth moving pictures from discontinuous still images using interpolation.(8) A mixing method of character data and line drawings for the security of personal data of patients.