课题基金 / 基金详情

Development of endoscope navigation system based on 3D image recognition, understanding, and video image analysis

Development of endoscope navigation system based on 3D image recognition, understanding, and video image analysis
基于3D图像识别、理解和视频图像分析的内窥镜导航系统开发
批准号:
13558032
负责人:
SUENAGA Yasuhito
金额:
$8.38万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2001
资助国家:
日本
项目状态:
已结题
起止时间:
2001 至 2003

项目摘要

项目成果

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中文摘要
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英文摘要
The purpose of this research project is to develop a flexible endoscope navigation system, which guides a physician by presenting navigation information derived from pore-operative 3D medical images of each patient. The system is implemented as a fusion of real and virtual endoscopy system. We have developed the following elementary techniques that are required in the flexible endoscope navigation system : (1) flexible endoscope tracking, (2) techniques that are required for presenting anatomical structures beyond the wall currently observed, (3) methods for assisting flexible endoscopic examination and surgery.(1) Flexible endoscope trackingWe developed several methods for estimating flexible endoscopic camera motion from real endoscopic videos and preoperative CT scans. Here, three types of tracking methods were investigated : (a) direct camera motion estimation from video sequences by using epipolar geometry analysis, (b) camera motion estimation by frame-by-frame image registration between real and virtual endoscopic images (a kind of 2D/3D image registration), (c) camera motion prediction by Kalman filtering and its application for reducing computation time.(2) Anatomical structure display beyond the organ's wall being currendy observedIn the endoscopic navigation system, it is very important to display anatomical structure existing beyond the organ's wall being currently observed. For realizing this function, we developed several methods for segmenting each organ from input CT images. These segmentation results were visualized by using fast software-based volume rendering during endoscopic examinations.(3) Navigation information for assisting endoscopyWe investigated three methods for presenting navigation information as assistance of endoscopy : (a) automated anatomical labeling of bronchial trees, (b) detection of unobserved regions during endoscopy, and (c) information display using image deformation.
期刊论文(121)
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会议论文
Junichiro Toriwaki: "Distance Transformation and Skeletonization of 3D Pictures and Their Applications of Medical Images"Lecture Notes in Computer Science. 2243. 412-428 (2001)
Junichiro Toriwaki:“3D 图片的距离变换和骨架化及其在医学图像中的应用”计算机科学讲义。
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通讯作者:
Yoshio Watanabe: "Three-dimensional image reconstruction of an anorectal malformation with multidetector-rpw helical computer tomography technology"Pediatric Surgery International. 19. 167-171 (2003)
Yoshio Watanabe:“利用多探测器 rpw 螺旋计算机断层扫描技术重建肛门直肠畸形的三维图像”国际小儿外科。
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Daisaku Deguchi: "New Image Similarity Measure for Bronchoscope Tracking Based on Image Registration"Lecture Notes in Computer Science. 2878. 309-316 (2003)
Daisaku Deguchi:“基于图像配准的支气管镜跟踪的新图像相似性测量”计算机科学讲座笔记。
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Yasushi Hirano: "Methods for Structural Analysis of Digital Figures Using Distance Transformation."MEDICAL IMAGING TECIINOLOGY. 20,1. 13-22 (2002)
Yasushi Hirano:“使用距离变换对数字图形进行结构分析的方法。”医学成像技术。
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