Design And Implementaion Of Core Module Of Pathology Software System In Medicine

With the development of society, people’s living standard has increased substantially, they have more time and energy to pay attention to their own health. At present, patients have doubled over the past few years in many hospitals. Pathology department, as a core department of hospital, their daily workloads are also exponentially increased, it is very difficult to satisfy people’s pursuit of health by using traditional work mode, because of its complex pathological processing, and time consuming diagnosis.The main purpose of this paper is to develop an information system which is suitable for pathology department’s daily work and to improve the information degree and management of the department. In order to develop the pathology information system, the author visited several graded 3A hospitals to learn and understand their business processes and work habits. Finally, the requirement analysis of the system has been accomplished. The system is composed of two parts, one named Core(Pathology Information System) and the other named Advanced(Sperm Analysis System, CASA).Core is developed based on.net platform, and it has registration workstation, gross sampling workstation, technician workstation, physician workstation and statistics workstation. The system has been developed to support both Oracle and DB2 database according to the different types of hospital’s databases.Advanced module is sperm analysis system. The system has completed the following work:(1) the acquisition of sperm moving video;(2) the identification and segmentation of sperm;(3)the tracking of sperm motion;(4)calculation and analysis of sperm motility parameters. Firstly, the sperm movement images will be obtained from video stream and then global threshold will be selected automatically to make binary segmentation. At this time, the sperm targets and interferential impurities can be extracted from the image. After that, calculating the perimeter, area, long axis, short axis, shape factor, and centroid of sperm targets by walking around the edge with an improved searching algorithm, latter, use above parameters to establish a judgment standard to remove impurities in each image. By analyzing the characteristics of sperm movement trajectory,with the methods of trajectory prediction and the differences of frames, a cost function has been established to determine whether the search area in reference frames has the target trajectory point of a specific sperm. Meanwhile, the centroid of each point in the trajectory has been connected with each other, in order to depict the sperm trajectory. Finally, the parameters that can show the related motions of sperms will be calculated according to the trajectory curve. In this way, classified statistics of sperm motility will be realized by analyzing the parametersAt present, the pathology information system has been successfully used at several hospitals officially, and the sperm analysis system has completed related algorithms research and simulation work, whose analysis results are compared with another system used by a maternal and children hospital named SCA-Motility. According to the comparing results, the former has greater advantages in sperm segmentation and trajectory tracking.