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Intelligent CAD Based on Quantitative Analysis of Spatio-Temporal Change in Medical Image Sequence

基于医学图像序列时空变化定量分析的智能CAD

基本信息

批准号：
15070206
负责人：
SUGIMOTO Naozo
金额：
$ 33.41万
依托单位：
Kyoto University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research on Priority Areas
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2006
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15070206/
关键词：
Medical Image Processig CAD Cardiac Imaging Multi Dimensional Image Image Sequences Rapid Imaging Image Registration 高速撮影画像の重ねあわせ

项目摘要

Our challenge is to develop an intelligent computer aided diagnosis (CAD) systems based on quantitative analysis of spatio-temporal change in high resolution multidimensional image sequence. We also focused on imaging and image processing of 4d images and on image database system for aiding observing sequential multidimensional images. Although we should develop a lot of techniques to achieve our purpose, we could not do everything in the restricted period of the projects and we, then, mainly focused on the following three systems and obtained results.1. CAD for analyzing cardiac function by using 4d MR tagging images (1) We developed retrospective cardiac-respiratory dual gating system for MR tagging. Obtained data were corrected and reconstructed by our newly developed k-t interpolation method. We also developed transient artifact free 4d tagging sequence by using TARD and LISA technique. (2) We developed a new tag detection and analysis method in 5d (x, y, z, t, I) space. (3) About 100 data set of high resolution 4d chest MRI were obtained.2. Sequential 3d image database and its data retrieval and displaying system of human embryos (1) We developed prototype system, and it was found that the system was useful for observing difference between subjects or between different growing stages. It seems that concept of this system can be used for CAD system for diagnosing image sequence. (2) We developed a new multidimensional image description method (RBCT), and it was useful for segmentation and displaying of multidimensional images.3. CAD system for aortic change in 3d X-ray CT imagesWe developed CAD for observing aortic change. The system has functions of segmenting aortic region, detecting calcification region around aorta, and measuring several parameters (aortic diameter, number and volume of calcification region, and so on). The system was implemented as a plug-in system for PLUTO.

我们的挑战是开发一种基于高分辨率多维图像序列时空变化的定量分析的智能计算机辅助诊断（CAD）系统。我们还专注于 4D 图像的成像和图像处理，以及帮助观察连续多维图像的图像数据库系统。虽然我们需要开发很多技术来达到我们的目的，但我们不可能在项目的有限期限内包揽一切，因此我们主要集中在以下三个系统上并取得了成果： 1．使用 4d MR 标记图像分析心脏功能的 CAD (1) 我们开发了用于 MR 标记的回顾性心脏呼吸双门控系统。获得的数据通过我们新开发的 k-t 插值方法进行校正和重建。我们还通过使用 TARD 和 LISA 技术开发了瞬态无伪影 4d 标记序列。 (2)我们开发了一种新的5d(x,y,z,t,I)空间标签检测和分析方法。 (3)获得约100个高分辨率4d胸部MRI数据集。2．人类胚胎序列3D图像数据库及其数据检索和显示系统（1）我们开发了原型系统，发现该系统对于观察受试者之间或不同生长阶段之间的差异很有用。看来该系统的概念可以用于诊断图像序列的 CAD 系统。 (2)提出了一种新的多维图像描述方法(RBCT)，可用于多维图像的分割和显示。3．用于 3D X 射线 CT 图像中主动脉变化的 CAD 系统我们开发了用于观察主动脉变化的 CAD。该系统具有主动脉区域分割、主动脉周围钙化区域检测、主动脉直径、钙化区域数量和体积等参数测量功能。该系统是作为 PLUTO 的插件系统实现的。