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

计算机医学图像生成及数据压缩的研究

基本信息

批准号：
01460239
负责人：
AGUI Takeshi
金额：
$ 3.78万
依托单位：
Tokyo Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (B)
财政年份：
1989
资助国家：
日本
起止时间：
1989 至 1990
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-01460239/
关键词：
Medical Image Processing Generation of Medical images Medical Image Data Compression Reconstruction of Objects Interpolation of discontinuous images

项目摘要

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.

本研究针对医学图像处理的一个重要课题，即图像处理的基本方法进行了研究。例如，医学图像的生成与数据压缩。研究结果如下：1.医学图像的生成方法（1）使用诸如CT图像的多个切片数据的插值的三维对象的重建方法。(2)一种从X光片上获得的复杂密度轮廓线重建原始三维物体的方法。(3)提出了一种基于希尔伯特扫描的体数据四叉树数据结构的快速生成方法.医学图像的数据压缩方法（1）提出了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，特别适用于包含大的相同颜色区域的图像。(3)提出了一种利用希尔伯特扫描实现大面积高密度图像快速扫描的方法。(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)一种可弹性执行资料压缩之类神经网路系统。(6)一种用于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)一种利用内插从不连续的静止图像生成平滑运动图像的方法。(8)一种用于患者个人数据安全的字符数据和线条图混合方法。