Spatio-Temporal Integrated Instrumentation and Evaluation of Biomedical Structures and Functions from Time Varying Images

为了评价靶器官的生物医学功能，集成有关器官的多个信息是非常有用的。即使对于形态结构的测量，我们也可以通过组合多模式观测来获得可靠的参数。然而，为了实现这一方案，我们需要一个实用的过程来整合不同类型的数据以适当的精度，以及如何将这种融合的时空信息以3D模式呈现出来。为了满足未来医疗信息系统的需求，通过计算机网络处理这些信息也变得非常重要。作为一个典型的例子，我们利用多模式三维数据来研究心脏功能。动态SPECT数据、冠状动脉造影和解剖冠状动脉(CA)模型在3D模式下叠加。这里，椭球体被用作评估它们的形状和叠加它们的关键模型。分别将SPECT、CA血管造影或解剖模型的左心室与该椭球体模型进行拟合，并与…进行比较更多的伊莱在电脑里。通过这些椭球体模型，成功地进行了检测，并利用该模型从时变的图像序列中估计了心输出量。这种时空分析在遥感图像上的应用也得到了证明，特别是在我们区域的植被分类中。要建立这种技术，我们需要高质量的图像和具有方便的人机交互界面的3D表示技术。因此，我们还结合实际目标进行了讨论。我们成功地利用同步辐射X射线获得了高质量的乳房X光片，并利用入射SR束的特性改善了SR-CT图像。开发了几个实用的程序，利用特定的摄像机位置将3D数据捕获到网络上的计算机中，并探索了一种利用多模式信息从场景中提取目标人脸的方法。从本项目的实验可以看出，多模式时空图像的集成对于理解目标的形状和功能是非常有用的，在计算机网络上对这些数据进行三维处理是很有前途的。较少

For the evaluation of biomedical function of target organs, it is quite useful to integrate several information concerning the organ. Even for the measurement of morphological structure, we can derive reliable parameters by combining multi-modal observations. However, to realize this scheme, we need a practical procedure to integrate different kinds of data with appropriate precision and the procedure to present such fused spatio-temporal information in 3D mode. For the requirement of coming medical information system, it is also important to manipulate such information through the computer network.As a typical example, cardiac function is investigated by using multi-modal 3D data. Dynamic SPECT data, coronary angiogram and anatomical coronary artery (CA) model are superimposed in 3D mode. Here, ellipsoid is used as a key model to evaluate their shapes and to superpose them. Left ventricle from SPECT, CA from CA angiogram or anatomical model are fitted to this ellipsoid model respectiv … More ely in the computer. Through these ellipsoid models, supepoition is performed successfully, and the cardiac output is also estimated using this model from time varying image sequence.Usefulness of such spatio-temporal analysis is also demonstrated on remote sensing images especially for vegetation classification about our regional area.To establish this kind of technique, we need high quality images and 3D presentation technique with convenient human interface. So we also discussed them with practical targets. We have succeeded to get high quality mammogram by synchrotron radiation X-ray and to improve SR-CT images using characteristics of incident SR beam. Several practical procedures are developed to capture 3D data into the computer on the network using specific camera location and a method is explored to extract target face from the scene by using multi-modal information.From our experiments in this project, we can conclude integration of multi-modal spatio-temporal images is very useful for understanding target shape and function, and 3D manipulation of those data on the computer network is quite prospective. Less