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

时变图像生物医学结构和功能的时空综合仪器和评估

• 批准号: 09650452
• 负责人: AKATSUKA Takao
• 金额: $ 2.11万
• 依托单位: Yamagata University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1997
• 资助国家: 日本
• 起止时间: 1997 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09650452/
• 关键词: Medical image processing; Spatio-temporal processing; 3D images; Time varying image; image superposition; Image understanding; cardiac structure model; Measurement by images

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

为了评价靶器官的生物医学功能，将有关器官的多种信息综合起来是非常有用的。即使对于形态结构的测量，我们也可以通过组合多模态观测来获得可靠的参数。然而，为了实现这个方案，我们需要一个实用的程序来以适当的精度整合不同类型的数据，以及以3D模式呈现这种融合的时空信息的程序。为了满足未来医学信息系统的需求，通过计算机网络对这些信息进行处理也是非常重要的，作为一个典型的例子，本文利用多模态三维数据对心脏功能进行了研究。在3D模式下叠加动态SPECT数据、冠状动脉造影照片和解剖冠状动脉（CA）模型。在这里，椭球被用作一个关键模型来评估它们的形状和叠加。将SPECT左心室、CA血管造影的CA或解剖模型分别拟合到该椭球模型， ...更多信息 伊利电脑里。通过这些椭球模型，我们成功地实现了插值，并利用该模型从时变图像序列中估计了心输出量，同时也证明了这种时空分析在遥感图像上的可行性，特别是在我们区域的植被分类上。因此，我们也讨论了他们与实际目标。我们已经成功地获得了高质量的乳腺X射线同步辐射X射线和改善SR-CT图像利用入射SR光束的特性。通过实验，我们发现多模态时空图像的融合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景的。少

项目成果

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