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Three-dimensional Imaging Display for Clinical Diagnosis and Treatment Supports

三维影像显示为临床诊疗提供支持

基本信息

批准号：
06680871
负责人：
UYAMA Chikao
金额：
$ 1.09万
依托单位：
National Cardiovascular Center Research Institute
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1995
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-06680871/
关键词：
pulmonary thromboembolism pulmonary artery three-dimensional display image matching of different modalities myocardium SPECT coronary artery brain PET image brain MR image 人工心臓胸腔3次元モデル 2画像の3次元的重ね合わせ大動脈弓3次元表示大動脈瘤肺血流循環領域肺野領域

项目摘要

(1) Perfusion area estimation in pulmonary area for pulmonary thromboembolism. While pulmonary SPECT images display blood circulatory area, pulmonary X-ray CT shows pulmonary area. We matched both images demonstrating the volume ratio between them.(2) Three-dimensional display of pulmonary arterial trees for clinical diagnosis of pulmonary thromboembolism. A pair of DSA (digital subtraction angiogram) images were recorded from two directions. A bifurcation point of pulmonary artery in one image corresponded with the point in the other by semi-automatical way. The tree-strcture of pulmonary arteries was displayd so that we can see the tree-structure from any direction.(3) Matching display of ccoronary artery extracted from coronary angiogram and myocardiogram by PET.Three-dimensional coronary arterial structure was constructed from a coronary angiogram taken from two directions. Three-dimensional myocardiac image was recorded by SPECT.By intervention of matching process between left ventriculogram and each of two images, we matched treedimensional images of coronary arteries and myocardiac volume image.(4) Myocardiac contraction analysis using MR tagging images. Myocardiac tagging images were recorded every 50 msec. during 400 msec from the endodiastolic phase. By tracing tagging marker on the time course images, myocardiac movement of 5 mm spacing points were measured. Clinical application of the method is expected.(5) Matching algorithm between images obtained from 2 modalities. PET and MR images of brains were matched by applying a local matching method. Matching among PET images, as well as among MR images were executed and obtained good result.Three-dimensional reconstruction of aortic arch from transverse, coronal and sagital MR images. Since three set of MR images are orthogonal with each other, positioning appropriate planes and projecting the contours of each image to some suitable planes resulted good three-dimensional shape of the aortic arch.

(1)肺血栓栓塞症肺区灌注面积的估计。肺SPECT图像显示血循环区，肺X线CT显示肺区。我们匹配了两张图像，展示了它们之间的体积比。(2)肺动脉树的三维显示用于肺血栓栓塞症的临床诊断。从两个方向记录一对DSA（数字减影血管造影）图像。两幅图像中的肺动脉分叉点与另一幅图像中的分叉点半自动对应。显示肺动脉的树状结构，使我们可以从任何方向看到树状结构。(3)从冠状动脉造影图像和心肌心电图中提取冠状动脉的PET匹配显示。用SPECT记录心肌三维图像，通过介入左心室造影与两幅图像的匹配过程，将冠状动脉三维图像与心肌容积图像进行匹配。(4)使用MR标记图像进行心肌收缩分析。每50毫秒记录一次心肌标记图像。在从舒张末期开始的400毫秒期间。在时间过程图像上追踪标记物，测量间隔5mm点的心肌运动。该方法有望在临床上得到应用。(5)从2种模态获得的图像之间的匹配算法。PET和MR图像的大脑匹配应用局部匹配方法。对PET图像和MR图像进行了匹配，取得了良好的效果。由于三组MR图像彼此正交，因此定位适当的平面并将每张图像的轮廓投影到一些适当的平面上可以获得良好的主动脉弓三维形状。