Counting the average number and standard error or standard deviation by popular method of 3 groups also leads to correct results as using Microsoft Excel software. When using Summary Statistics in Descriptive Statistics, we have average value, standard error, standard deviation and other results, in which there was a sample variance. If 2 variances of 2 samples were the similar, t test has been used. Thus, using Microsoft Excel software, we’ll have specific p value. From that, we could infer the greater or smaller results
Statistics Computer

This article outlines the methods of building a safe environment for the hospital information system, and protecting data in three levels. Firstly it is recommended to build a highly efficient and redundant hot spare system for program applications and the database, secondly to make a copy of log file from the current database to the emergent server used for the whole hospital is suggested,finally another emergent server should be provided for the outpatient department. And thus, once there are some problems with the whole network, it would undertake the urgent services of the hospital as an outpatient network.
Computer Communication Networks ; Computer Security ; Computer Systems ; Hospital Information Systems

PURPOSE: To generate the axial, coronal and sagittal images from conventional simulation images, as a preliminary study of broad-beam simulator CT. METHODS AND MATERIALS: Volumetric filtered back-projection was performed using 90 sheets of films from conventional simulator for every 4. gantry angle. Two mAs exposure condition for 120kVp beam quality at SFD 140cm was given to each film. Outside the silhouette portion was removed and scatter component was deconvolved before back-projection. RESULTS: The axial, the sagittal and the coronal images with same spatial resolutions over all direction could be obtained. But image quality was very poor. CONCLUSION: CT images could be obtained using broad-beam. Scatter deconvolution technique was effective for this reconstruction. The fact that same spatial resolutions over all direction tells us the possiblility of application of this technique to DRR or Simulator-CT. But the quality of image should be improved for clinical application practicaly.
Image Processing, Computer-Assisted*

The way of counting average number and standard error or standard deviation by normal count method on all three lots showed the same results like as Microsoft - Excel. Application of Summary Statistics in Descriptive Statistics showed average value, standard error, standard deviation and many other results in which there are sample variance. If two variances of two samples are the same, T proof method is used. Like this, use of Microsoft Excel showed concrete numeric value of p
Mathematical Computing ; Computer

In the computer network, any one computer can access the database or external equipment (such as printer) in other computer if it is authorized the right of access. Therefore, the manager of scientific research and managers of hospital can collect timely and correctly the information from which can make the correct evaluations and decisions
Neural Networks (Computer) ; hospitals

PURPOSE: In this study we propose a block-iterative method for reconstructing Compton scattered data. This study shows that the well-known expectation maximization (EM) approach along with its accelerated version based on the ordered subsets principle can be applied to the problem of image reconstruction for Compton camera. This study also compares several methods of constructing subsets for optimal performance of our algorithms. MATERIALS AND METHODS: Three reconstruction algorithms were implemented; simple backprojection (SBP), EM, and ordered subset EM (OSEM). For OSEM, the projection data were grouped into subsets in a predefined order. Three different schemes for choosing nonoverlapping subsets were considered; scatter angle-based subsets, detector position-based subsets, and both scatter angle- and detector position-based subsets. EM and OSEM with 16 subsets were performed with 64 and 4 iterations, respectively. The performance of each algorithm was evaluated in terms of computation time and normalized mean-squared error. RESULTS: Both EM and OSEM clearly outperformed SBP in all aspects of accuracy. The OSEM with 16 subsets and 4 iterations, which is equivalent to the standard EM with 64 iterations, was approximately 14 times faster in computation time than the standard EM. In OSEM, all of the three schemes for choosing subsets yielded similar results in computation time as well as normalized mean-squared error. CONCLUSION: Our results show that the OSEM algorithm, which have proven useful in emission tomography, can also be applied to the problem of image reconstruction for Compton camera. With properly chosen subset construction methods and moderate numbers of subsets, our OSEM algorithm significantly improves the computational efficiency while keeping the original quality of the standard EM reconstruction. The OSEM algorithm with scatter angle- and detector position-based subsets is most available.
Image Processing, Computer-Assisted

Even though a conventional metal ceramic restoration is widely in use, its laboratory procedure is still technique-sensitive, complex, and time-consuming. A ceramic-pressed-to-metal restoration (PTM) can be a reliable alternative. However, simplified laboratory procedure for a PTM is still necessary. The article is to propose a technique that reduces time and effort to fabricate a PTM with the aid of computer-aided design, computer-aided manufacturing and selective laser sintering technologies.
Ceramics ; Computer-Aided Design*

Virtual reality is the multi-dimensional sensorial environment produced by the computer, Users can play a part in this virtual environment by particular tools. This technology, possessing the characteristics of being lifelike, interactive and imaginative, plays more and more important part in the medical field. For example, in medical training, in physical and psychological treatments, this technology is of great value.
Computer Simulation ; Computer-Assisted Instruction ; General Surgery ; education ; methods ; Humans ; Surgery, Computer-Assisted ; User-Computer Interface

OBJECTIVE: To study some thermal problems in invasive microwave coagulation (IMC) therapy. METHODS: Temperature fields predicts, limitation and remedy methods of the Pennes bioheat transfer equation during the temperature distribution analyses and how to kill a large anomalistic tumor for only once were discussed. RESULTS: The coagulation area between the simulations and actual measured results showed good correspondence. Blood flow influenced the rise in temperature significantly. CONCLUSIONS: Thermal distribution with computer simulation in invasive microwave coagulation therapy is an accurate and reliable method.
Computer Simulation ; Microwaves*

PURPOSE: The purposes of this study were to develop an intraoperative navigation system as the first step toward image-guided surgery and robotic surgery, and to evaluate its accuracy. MATERIALS AND METHODS: The navigation system was composed of an optical tracking system (Polaris, Northern Digital) and a personal computer. The registration error and target localization error of fiducial registration and surface registration were measured using a phantom. Each of the errors was measured 30 times, and the average values and the standard deviations were calculated. RESULTS: The registration error was 0.84 +/- 0.28 mm at fiducial registration and 0.81 +/- 0.21 mm at surface registration. The target localization error was 1.54 +/- 0.34 mm at fiducial registration and 1.46 +/- 0.32 mm at surface registration. CONCLUSION: We have developed an intraoperative navigation system using an optical tracker, and could assure ourselves that its accuracy is adequate for many orthopaedic surgeries. However, it still requires improvement in the accuracy and development of specific software and instruments for various operations.
Microcomputers ; Surgery, Computer-Assisted