权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Four-dimensional Image Processing Softwares for Computer Assisted Diagnosis or Ireatment Procedures

用于计算机辅助诊断或治疗程序的四维图像处理软件

基本信息

批准号：
13680935
负责人：
SUGIMOTO Naozo
金额：
$ 2.05万
依托单位：
Kyoto University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2003
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-13680935/
关键词：
Medical Image Processing Cardiac Imaging Multi Dimensional Image Dynamic Image Image Registration Rapid Imaging

项目摘要

In this project, we were concerned about 4-dimensional imaging and image processing methods mainly in cardiac images. We investigated about 4-dimensional image processing methods such as edge preserving filters, segmentation by using region growing, 3D-2D dynamic registration, and so on. By using these techniques, we also developed some softwares for computer assisted diagnosis or treatment procedures.In detail, developed methods or programs were as follows.1. Rapid Cardiac Functional Imaging.Multi phase 3D MR tagging method based on TrueFISP sequence was developed. This method still suffers from problem of artifacts. However, it will be solved in the near future. (Artifact suppression is investigated in other project.)2. 4-dimensional Image Segmentation.Automated extraction and volume measurement program from 4-dimensional CT or MRI data was developed. Branch based region growing method was also developed for extracting blood vessels in 3D MRA data(3-dimensions in space plus 1-dimension in structure of blood vessels).3. Dynamic Registration between 3D Image(CT/GSPECT) and X-ray Image Sequences.For assisting aortic stmt grafting, a system for registration of pre-operative 3DCTA and intra-operative fluoroscopic image sequence was developed. This system is based on DRR (Digitally Re-constructed Radiograph) based 3D-2D image registration. 3D-2D image registration system of Cardiac Gated SPELT and fluoroscopic images was also developed. In this system registration is performed by evaluate 3D reconstruction of coronary arteries(appeared in 2D X-Ray images) on epicaridal surface (appeared in GSPECT).

在这个项目中，我们主要关注心脏图像中的4维成像和图像处理方法。我们研究了 4 维图像处理方法，例如边缘保留滤波器、使用区域生长进行分割、3D-2D 动态配准等。利用这些技术，我们还开发了一些计算机辅助诊断或治疗程序的软件。具体开发的方法或程序如下： 1．快速心脏功能成像。开发了基于TrueFISP序列的多相3D MR标记方法。该方法仍然存在伪影问题。不过，该问题将在不久的将来得到解决。（伪影抑制在其他项目中进行了研究。）2． 4 维图像分割。开发了 4 维 CT 或 MRI 数据的自动提取和体积测量程序。还开发了基于分支的区域生长方法，用于提取3D MRA数据中的血管（空间中的3维加上血管结构中的1维）。 3． 3D 图像（CT/GSPECT）和 X 射线图像序列之间的动态配准。为了辅助主动脉支架移植，开发了术前 3DCTA 和术中透视图像序列配准的系统。该系统基于 DRR（数字重建放射线照片）3D-2D 图像配准。还开发了心门控 SPELLED 和荧光透视图像的 3D-2D 图像配准系统。在此系统中，通过评估心外膜表面（出现在 GSPECT 中）上的冠状动脉（出现在 2D X 射线图像中）的 3D 重建来进行配准。