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A Web abdominal anatomical structure database system

机译:Web腹部解剖结构数据库系统

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摘要

Abdominal anatomical structure database is a necessary precondition for medical image computer-aided diagnosis. In this paper, a Web database system based on the CT abdomen anatomy images is established. The system consists of abdominal viscera segmentation and anatomical structure database. Firstly, we need to segment the spleen and liver in abdominal CT images. For spleen segmentation, an improved Otsu-based algorithm is put forward; for liver segmentation, an improved algorithm combined probability graph and traditional graph cut segmentation algorithm is used. Secondly, a Web oriented abdominal viscera anatomical structure database system using SSI framework is constructed, storing and managing image information of segmented organs. Lastly, through the experimental measurement for abdominal CT image segmentation and database system, the experimental results show that the proposed segmentation algorithm and the liver spleen segmentation algorithm can get more accurate segmentation results. The database system can provide remote management, making it available for medical researchers use the computer remotely access to the Internet to obtain the required data anywhere.
机译:腹部解剖结构数据库是医学图像计算机辅助诊断的必要前提。本文建立了基于CT腹部解剖图像的Web数据库系统。该系统由腹部内脏分割和解剖结构数据库组成。首先,我们需要在腹部CT图像中分段脾脏和肝脏。对于脾细分,提出了一种改进的基于OTSU的算法;对于肝分割,使用改进的算法组合概率图和传统的曲线切割分割算法。其次,构造了使用SSI框架的Web定向腹部内脏解剖结构数据库系统,存储和管理分段器官的图像信息。最后,通过对腹部CT图像分割和数据库系统的实验测量,实验结果表明,所提出的分割算法和肝脾分割算法可以获得更准确的分割结果。数据库系统可以提供远程管理,使其可用于医学研究人员,使用计算机远程访问互联网以获取所需的数据。

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