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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。本文建立了一个基于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图像中分割脾脏和肝脏。针对脾脏分割,提出了一种基于大津的改进算法。对于肝脏分割,使用了一种将概率图和传统图割分割算法相结合的改进算法。其次,利用SSI框架构建了一个面向Web的腹腔内脏解剖结构数据库系统,存储并管理了分割器官的图像信息。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,本文提出的分割算法和肝脾分割算法可以得到较准确的分割结果。该数据库系统可以提供远程管理,使医学研究人员可以使用该计算机通过远程访问Internet的计算机在任何地方获取所需的数据。

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