基于PyRadiomics的医疗影像纹理获取原型系统集成  

Integration of Medical Image Texture Acquisition Prototype System Based on PyRadiomics

作　　者：董建民[1] 刘建新 DONG Jian-min;LIU Jian-xin(School of Information Engineering,Xizang Minzu University,Xianyang 712082,China)

机构地区：[1]西藏民族大学信息工程学院,陕西咸阳712082

出　　处：《软件导刊》2020年第7期223-226,共4页Software Guide

基　　金：西藏自然科学基金项目(XZ2017ZRG-58)。

摘　　要：针对计算机辅助诊断中医学影像纹理计算相对复杂、商业分析软件功能相对固定和成本较高等问题,以目前主流的Python语言为开发工具,将其对应的PyRadiomics模块、SimpleITK模块与Pydicom模块相结合,给出了符合Dicom 3.0格式的医疗影像数据纹理分析软件设计流程,开发了纹理计算过程和数据可视化原型系统。系统集成为影像医师诊断提供了一种低成本、交互友好的纹理特征数据获取与分析手段,为医学影像中的人工智能、深度学习应用打下了基础。In order to solve the problems of relatively complex texture calculation,relatively fixed function and high cost of commercial analysis software in computer-aided diagnosis through medical image,after the design flow of texture analysis of medical image data been given,a prototype system of texture calculation is integrated by Python with its corresponding pyradiomics module,simpleITK module and pydicom module.The system could process all DICOM(digital imaging and communications in medicine)3.0 format files of medicine images and texture calculation and visualization model are developed and a low-cost,interactive and friendly method of texture feature data display and analysis for imaging doctors’diagnosis is provided.It lays a solid foundation for the fields of artificial intelligence and deep learning based on medical image.

关 键 词：PyRadiomics 医疗影像 纹理获取 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]