基于Python语言的海马结构分析软件的设计及验证  

Design and verification of the hippocampus analysis software using Python

作　　者：牛敏 李淑宇[1,2] 李琼玲 李欣蔚 王雪彤[1,2] NIU Min;LI Shuyu;LI Qiongling;LI Xinwei;WANG Xuetong(School of Biological Science and Medical Engineering,Beihang University,Beijing 100083,China;Beijing Advanced Innovation Center for Biomedical Engineering,Beihang University,Beijing 100083)

机构地区：[1]北京航空航天大学生物与医学工程学院,北京100083 [2]北京航空航天大学生物医学工程高精尖创新中心,北京100083

出　　处：《生物医学工程研究》2018年第4期436-439,共4页Journal Of Biomedical Engineering Research

基　　金：国家自然科学基金资助项目(81471731)

摘　　要：本研究基于Python语言开发了一款针对海马形态学分析的软件,该软件具有结构磁共振图像可视化、预处理、海马自动分割、构建海马结构共变网络、统计分析等功能,实现对海马形态学的系列分析。基于该软件,采用ADNI数据库中AD和NC组数据进行了海马分割及分析,均得到显著性差异结果,并与Freesurfer和FSL-FIRST进行分割结果对比实验,证明该软件具有分割准确性高,速度快的优势。本研究成果为海马的形态学分析提供了集成化、自动化的工具。To develop a software for hippocampus morphological analysis using Python.The software could be used for visualization,preprocessing,hippocampus auto-segmentation,hippocampus structural covariance networks construction and statistical analysis based on magnetic resonance images,which realized the series analysis of hippocampal morphology.Based on the software,we used ADNI database to conduct a hippocampus segmentation and analysis,and the significant results were obtained.Compared with Freesurfer and FSL-FIRST,the algorithm of this software had the high segmentation accuracy and short time-consuming.The results provide an integrated and automatic tool for the research of the hippocampal morphology.

关 键 词：海马形态学 预处理 自动分割 统计分析 医学图像处理软件 

分 类 号：R318[医药卫生—生物医学工程]