1.Particular situation when using Microsoft Excel software in biological statistics (Continued)
Pharmaceutical Journal 2005;353(9):4-6
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
2.How to construct a safe storage environment for hospital informations.
Chinese Journal of Medical Instrumentation 2007;31(1):56-59
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
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Computer Security
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Computer Systems
;
Hospital Information Systems
3.New Techniques for Optimal Treatment Planning for LINAC-based Sterotactic Radiosurgery.
Journal of the Korean Society for Therapeutic Radiology 1992;10(1):95-101
Since LINAC-based stereotactic radiosurgery uses multiple noncoplanar arcs, three-dimensional dose evaluation and many beam parameters, a lengthy computation time is required to optimize even the simplest case by a trial and error. The basic approach presented in this paper is to show promising methods using an experimental optimization and an analytic optimization. The purpose of this paper is not to describe the detailed methods, but introduce briefly, proceeding research done currently or in near future. A more detailed description will be shown in ongoing published papers. Experimental optimization is based on two approaches. One is shaping the target volumes through the use of multiple isocenters determined from dose experience and testing. The other method is conformal therapy using a beam's eye view technique and field shaping. The analytic approach is to adapt computer-aided design optimization in finding optimum irradiation parameters automatically.
Computer-Aided Design
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Radiosurgery*
4.Thermal Problems and Methods in Invasive Microwave Coagulation Therapy.
Qun NAN ; Jianshu PENG ; Youjun LIU ; Yi ZENGON
Journal of Korean Society of Medical Informatics 2007;13(2):159-163
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
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Microwaves*
5.Pharmacometric models simulation using NONMEM, Berkeley Madonna and R.
Translational and Clinical Pharmacology 2017;25(3):125-133
In this tutorial, we introduce a differential equation simulation model for use in pharmacometrics involving NONMEM, Berkeley Madonna, and R. We report components of the simulation code and similarities/differences between software, rather than how to use each software. Depending on the purpose of the simulation, an appropriate tool can be selected for effective communication.
Computer Simulation
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Software
6.A Comparative Study of Subset Construction Methods in OSEM Algorithms using Simulated Projection Data of Compton Camera.
Soo Mee KIM ; Jae Sung LEE ; Mi No LEE ; Ju Hahn LEE ; Joong Hyun KIM ; Chan Hyeong KIM ; Chun Sik LEE ; Dong Soo LEE ; Soo Jin LEE
Nuclear Medicine and Molecular Imaging 2007;41(3):234-240
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
7.Clinical Application of Image Guided Surgery: Zeiss SMN System.
Chea Heuck LEE ; Ho Yeon LEE ; Choong Jin WHANG
Journal of Korean Neurosurgical Society 2000;29(1):72-77
No abstract available.
Surgery, Computer-Assisted*
8.Role of computers and robots in future otological surgery.
Hanyang Medical Reviews 2016;36(4):230-234
The author herein reviews recent series of projects aimed at developing computer- and robot-assisted otological surgery. The author's team and its collaborating institutions have developed devices for image-guided surgery and robots for otological procedures. The accumulation of user-oriented research resulted in developing a unique robotic system of human-robot collaborative control, which is the system that restricts the surgeon's hand only if surrounding structures are in danger of injury. Thus, as many other fields in the surgery, otological procedures can also be assisted by computers and robots that provide objective and patient-specific anatomical information during surgery.
Hand
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Surgery, Computer-Assisted
9.Review of Computer-Aided Surgery.
Hanyang Medical Reviews 2016;36(4):203-204
No abstract available.
Surgery, Computer-Assisted*
10.A comparative study on the fit and screw joint stability of ready-made abutment and CAD-CAM custom-made abutment.
Jong Wook KIM ; Yu Ri HEO ; Hee Jung KIM ; Chae Heon CHUNG
The Journal of Korean Academy of Prosthodontics 2013;51(4):276-283
PURPOSE: The purpose of this study was to investigate the fit and screw joint stability between Ready-made abutment and CAD-CAM custom-made abutment. MATERIALS AND METHODS: Osstem implant system was used. Ready-made abutment (Transfer abutment, Osstem Implant Co. Ltd, Busan, Korea), CAD-CAM custom-made abutment (CustomFit abutment, Osstem Implant Co. Ltd, Busan, Korea) and domestically manufactured CAD-CAM custom-made abutment (Myplant, Raphabio Co., Seoul, Korea) were fabricated five each and screws were provided by each company. Fixture and abutments were tightening with 30Ncm according to the manufacturer's instruction and then preloding reverse torque values were measured 3 times repeatedly. Kruskal-Wallis test was used for statistical analysis of the preloading reverse torque values (alpha=.05). After specimens were embedded into epoxy resin, wet cutting and polishing was performed and FE-SEM imaging was performed, on the contact interface. RESULTS: The pre-loading reverse torque values were 26.0 +/- 0.30 Ncm (ready-made abutment; Transfer abutment) and 26.3 +/- 0.32 Ncm (CAD-CAM custom-made abutment; CustomFit abutment) and 24.7 +/- 0.67 Ncm (CAD-CAM custom-made abutment; Myplant). The domestically manufactured CAD-CAM custom-made abutment (Myplant abutment) presented lower pre-loading reverse torque value with statistically significant difference than that of the ready-made abutment (Transfer abutment) and CAD-CAM custom-made abutment (CustomFit abutment) manufactured from the same company (P=.027) and showed marginal gap in the fixture-abutment interface. CONCLUSION: Within the limitation of the present in-vitro study, in domestically manufactured CAD-CAM custom-made abutment (Myplant abutment) showed lower screw joint stability and fitness between fixture and abutment.
Computer-Aided Design*
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Torque