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作 者:孟俊祥 柏正尧[1] 计雪伟 MENG Jun-xiang;BAI Zheng-yao;JI Xue-wei(School of Information,Chenggong Campus,Yun'nan University,Kunming 650500,Yun'nan Province,P.R.C.)
机构地区:[1]云南大学呈贡校区信息学院
出 处:《中国数字医学》2019年第3期92-96,共5页China Digital Medicine
摘 要:目的:通过对肺部医学影像进行预处理增强肺部病灶区域,并用3D建模实现肺部影像立体视觉效果,而影像的数据测量功能有助于辅助医生诊断更加精确、科学、全面;加快以智能化、数字化为中心的辅助诊断系统建设。方法:系统可对DICOM、JPG、IMA、BMP格式的医学影像进行处理,分为5个功能模块:第一部分是肺部影像预处理,包括改进型均衡化、几何变换、滤波处理、形态学等功能的实现;第二部分是肺实质分割,包括滚球法分割、多阈值法分割、基于灰度级分层的伪彩色分割、手动分割、肺结节的提取功能;第三部分是肺部影像伪彩色处理功能的实现;第四部分是肺部影像3D建模可变视角观察;第五部分是对提取的病灶区域进行边界提取、踩点测距、面积及周长的计算功能。结果:系统优化了功能类型,实现功能的多样化、专业化、智能化,并且实现了肺部立体式旋转观察,增强了影像细节部分的显示功能,加强了人工和自动标识的功能,有助于提高医生诊断的可靠性。结论:系统实现了肺部影像的增强功能、3D建模及数据测量功能,提高了系统设计的可靠性,辅助医生进行肺部疾病诊断,可进行功能扩展,在肺部疾病辅助诊断系统中有较好的应用前景。Objective:By pre-processing the lung medical images to enhance the lung lesion area,and using 3D modeling to achieve the stereoscopic visual effect of the lung image,the data measurement function of the image can assist the doctor to diagnose more accurate,scientific and comprehensive.Meanwhile it can accelerate the construction of an assisting diagnosing system centered on intelligence and digitization.Methods:This system can process medical images in DICOM,JPG,IMA and BMP formats,which can be divided into five functional modules.The first part is the lung image preprocessing,including the realization of improved equalization,geometric transformation,filtering,morphology and other functions.The part two is the lung parenchyma segmentation,including the rolling ball method segmentation,multi-threshold segmentation,pseudo-color segmentation based on gray level stratification,manual segmentation,and lung nodule extraction.The third part is the realization of the pseudo-color processing function of the lung image.The fourth part is the variable viewing angle observation of 3D modeling of lung images.The last part is to calculate the boundary extraction,stepping distance,area and perimeter of the extracted lesion area.Results:This system optimizes the function type,realizes the functional diversification,specialization and intellectualization,and implements the stereoscopic rotation observation of the lungs,in the same time it strengthens the display function of the image detail part,enhances the manual and automatic identification functions to improve the reliability of doctors’diagnosis.Conclusion:The system realized the enhancement of lung image,3D modeling and data measurement functions,and system design reliability,which can assist doctors in the diagnosis of lung diseases and function expansion.It will have a good application prospect in the lung disease aided diagnosis system.
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