An Auxiliary Diagnosis System Of Lung Medical Imaging

With the development of modern medicine and the construction of domestic medical infrastructure,the development of medical image-assisted processing systems has become a hot field for the development of various universities and research institutions.Due to the large investment in medical imaging diagnostic system,long cycle,wide patents,open source data can not meet the demand,and most of the core technology is in the hands of foreign medical equipment giants,but for the hospital,it has stable performance,easy to expand in the later stage,and more An auxiliary diagnostic system with integrated functions and high operational flexibility is an urgent task.This thesis is based on the medical imaging dataset of the lungs of Shizong County People’s Hospital of Qujing City,Yunnan Province.The research is to provide medical assistant diagnosis system,which is mainly to meet the convenience of medical workers,visual enhancement,multi-angle visualization,accurate data extraction,etc.Claim.The main work includes:(1)The design of the overall framework of the system,the architecture design of the single-function module,interface layout,simplification,aesthetics,easy operation and humanized design;(2)Functional code writing of single function module,quality evaluation of experimental results and selection of optimal effect,data sorting and preprocessing(including 1 pretreatment of lung image;2 segmentation of lung parenchyma and extraction of part of interest;3 pseudo Color processing;4 3D modeling and 3D rotation of lung parenchyma;5 data measurement extraction);(3)According to the mutual coordination between the function modules,the compatibility between the whole functional modules can be debugged,not only the single function processing,but also the multi-functional superposition operation can be realized,and the high cohesion and low coupling software can be realized.Development requirements;Pre-processing function,adopting more mature enhancement algorithms,including point calculation,domain operation and frequency domain processing;lung parenchymal segmentation function,adopts four algorithms including:improved ball-ball segmentation,improved OTSU lung parenchyma Segmentation,pseudo-color segmentation based on gray level layering and manual manual segmentation;pseudo-color processing module algorithm implementation:traditional pseudo-color processing function implementation,based on improved gray layered pseudo color processing and pseudo based on sin,sigmoid transfer function Color processing algorithm;3D reconstruction function part includes:volume rendering and surface rendering implementation,which is extended on the basis of its 3D reconstruction to enable manual or automatic rotation observation;and for data measurement function extraction:the module includes two steps The measurement of the distance,manual measurement of the circumference and area of the marked area.The development of this system is mainly for image processing of DICOM protocol.On this basis,medical images in JPG,IMA,BMP,GIF,TIFF,PNG and other formats can also be processed.and image quality evaluation functions are used for data comparison.Get the best results for the system to build the system.From the realization of the above functions,it can be concluded that the s’ystem has strong pertinence,good practicability,reliable performance,good visual enhancement effect,and can accurately realize image segmentation and data measurement.It lays a foundation for the development of digital medical diagnosis and the application of clinical medicine.