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Development of an Image Analyzing System for Cardiovascular Morphorogy and Dynamics using Synchrotron Radiation Imaging

使用同步辐射成像开发心血管形态和动力学图像分析系统

基本信息

批准号：
04557113
负责人：
AKATSUKA Takao
金额：
$ 5.95万
依托单位：
Yamagata University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (B)
财政年份：
1992
资助国家：
日本
起止时间：
1992 至 1993
项目状态：
已结题

项目摘要

The final goal of this project is to detect cardiovascular abnormality in its early stage. For this purpose synchrotron radiation (SR) imaging is quite useful to find precise structure on moving organs, and it gives us spectral information of objects. On the other hand, we can get more exact structures and functions of living organs from time sequence images. Here we developed a system and several algorithms to realize such analysis.Two spectrum images obtained in 2ms, i.e. ignorable time interval for cardiac motion, image data sequences are recorded in IC memory bank with required reference time series signal. Each image data is 512x512 size with 12bit depth, and the usual time difference between two spectrum image sequences is 2ms. For fast correction of image distortion and real time DSA, a fast data processing board is prepared and more sophisticated processing are executed on a work station connected to this recording system.Several basic algorithms for the analysis of image sequence and information extraction for evaluation of organs are developed on related practical problems, e.g. 3D coronary structure identification from biplane image time sequences, detection and tracking moving targets and imaging of specific materials in organs from spectrum images.A few problems on the optical system for SR imaging is also studied. For the suppression of scattering X-ray flux and the fast switching of X-ray spectrum for energy subtraction imaging, we found solutions, and their implementation are continuing. Improvement of diagnosing algorithm and clinical evaluation of this system is the next problem.

本项目的最终目标是早期发现心血管异常。为此，同步辐射（SR）成像是非常有用的，以找到精确的结构上运动的器官，它给我们的对象的光谱信息。另一方面，我们可以从时间序列图像中得到更准确的活体器官的结构和功能。我们研制了一个系统和几种算法来实现这一分析，在2ms内获得的两幅频谱图像，即心脏运动的可重复时间间隔，图像数据序列与所需的参考时间序列信号一起记录在IC存储库中。每幅图像数据大小为512 × 512，深度为12位，两幅光谱图像序列之间的时间差通常为2ms。为了实现图像畸变的快速校正和真实的实时DSA，研制了一个快速数据处理板，并在与该记录系统相连的工作站上进行了更复杂的处理，针对相关的实际问题，如从双平面图像时间序列中识别三维冠状动脉结构，从光谱图像中检测和跟踪运动目标以及对器官中特定物质的成像，并对超分辨率成像光学系统的几个问题进行了研究。对于能量减影成像中散射X射线通量的抑制和X射线谱的快速切换，我们找到了解决方案，并正在继续实施。下一步的工作是对该系统的诊断算法和临床评价的改进。