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Visible Human Data의 3차원 가시화에 대한 연구
최형근,김동현,탁계래,신현준 건국대학교 의과학연구소 2000 건국의과학학술지 Vol.10 No.-
Visualization is the process of exploring, transforming and viewing data as images to gain understanding and insight into the data. Visualization in medicine is helpful in understanding human anatomy by presenting the information in a form that is not only pleasing but also easily recognizable as well as in gaining functional attributes of medical systems, such as biomechanical and physiological properties. Medical applications include accurate anatomy and function mapping, enhanced diagnosis. accurate treatment planning and rehearsal, and education/training. The Visible Human data set of the National Library of Medicine, the most complete anatomically detailed. computerized database of the human body ever assembled, has been used for these purposes. In this study, we have visualized the Visible Human Data set with VTK(Visualization ToolKit, Kitware Inc.), IAP(Image Application Platform, ISG Inc.) and Visual C++ 6.0. A motivation of this study is the fact that computer imaging techniques have become an important diagnostic tool in the practice of modern medicine. The 3D visualization system consists of a basic 2D image processing such as filtering, panning, zooming and measuring image as well as 3D image processing such as multiplanar reformatting, surface rendering and volume rendering. The wide-spread use and accessibility of the web have been required to provide the visualization of 3D image on the web. Thus, we have developed web-based medical 3D visualization system that supports World-Wide-Web using VRML and client/server architecture.
Tack, Gye Rae,Choi, Jin Seung Korean Society of Sport Biomechanics 2017 한국운동역학회지 Vol.27 No.1
Objective: The purpose of this study was to compare the accuracy of stride time and stride length provided by a commercial APDM inertial sensor system (APDM) with the results of three dimensional motion capture system (3D motion) during treadmill walking. Method: Five healthy men participated in this experiment. All subjects walked on the treadmill for 3 minutes at their preferred walking speed. The 3D motion and the APDM were simultaneously used for extracting gait variables such as stride time and stride length. Mean difference and root mean squared (RMS) difference were used to compare the measured gait variables from the two measurement devices. The regression equation derived from the range of motion of the lower limb was also applied to correct the error of stride length. Results: The stride time extracted from the APDM was almost the same as that from the 3D motion (the mean difference and RMS difference were less than 0.0001 sec and 0.0085 sec, respectively). For stride length, mean difference and RMS difference were less than 0.1141 m and 0.1254 m, respectively. However, after correction of the stride length error using the derived regression equation, the mean difference and the RMS difference decreased to 0.0134 m and 0.0556 m or less, respectively. Conclusion: In this study, we confirmed the possibility of using the temporal variables provided from the APDM during treadmill walking. By applying the regression equation derived only from the range of motion provided by the APDM, the error of the spatial variable could be reduced. Although further studies are needed with additional subjects and various walking speeds, these results may provide the basic data necessary for using APDM in treadmill walking.
( Gye Rae Tack ),( Jin Seung Choi ) 한국운동역학회 2017 한국운동역학회지 Vol.27 No.1
Objective: The purpose of this study was to compare the accuracy of stride time and stride length provided by a commercial APDM inertial sensor system (APDM) with the results of three dimensional motion capture system (3D motion) during treadmill walking. Method: Five healthy men participated in this experiment. All subjects walked on the treadmill for 3 minutes at their preferred walking speed. The 3D motion and the APDM were simultaneously used for extracting gait variables such as stride time and stride length. Mean difference and root mean squared (RMS) difference were used to compare the measured gait variables from the two measurement devices. The regression equation derived from the range of motion of the lower limb was also applied to correct the error of stride length. Results: The stride time extracted from the APDM was almost the same as that from the 3D motion (the mean difference and RMS difference were less than 0.0001 sec and 0.0085 sec, respectively). For stride length, mean difference and RMS difference were less than 0.1141 m and 0.1254 m, respectively. However, after correction of the stride length error using the derived regression equation, the mean difference and the RMS difference decreased to 0.0134 m and 0.0556 m or less, respectively. Conclusion: In this study, we confirmed the possibility of using the temporal variables provided from the APDM during treadmill walking. By applying the regression equation derived only from the range of motion provided by the APDM, the error of the spatial variable could be reduced. Although further studies are needed with additional subjects and various walking speeds, these results may provide the basic data necessary for using APDM in treadmill walking.
이봉수,Gye-Rae Tack,조효성,이정한,Sin Kim,Young-Mook Hwang 한국물리학회 2005 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.46 No.2
In this paper, we describe the feasibility of developing a new fiber-optic temperature sensor using a thermo-sensitive liquid crystal (LC) film for laser-induced interstitial thermotherapy (LITT). The temperature change in the tissue or the tumor causes the color of the LC film in contacted with the tissue to change, and that change alters the reflectivity of the LC film. The light with a selected wavelength that is transmitted to the LC film and the optical power of the reflected light are measured using transmitting and receiving optical fibers, respectively. Also, the relationship between the temperature and the optical power of reflected light is determined using the characteristics of the LC films
Prediction of Cement Volume for Vertebroplasty Based on Imaging and Biomechanical Results
Lee, Sung-Jae,Tack, Gye-Rae,Lee, Seung-Yong,Jun, Bong-Jae,Lim, Do-Hyung,Shin, Jung-Woog,Kim, Jeong-Koo,Shin, Kyu-Chul The Korean Society of Mechanical Engineers 2001 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.15 No.7
Control of bone cement volume (PMMA) may be critical for preventing complications in vertebroplasty, the percutaneous injection of PMMA into vertebra. The purpose of this study was to predict the optimal volume of PMMA injection based on CT images. For this, correlation between PMMA volume and textural features of CT images was examined before and after surgery to evaluate the appropriate PMMA amount. The gray level run length analysis was used to determine the textural features of the trabecular bone. Extimation of PMMA volume was done using 3D visualization with semi-automatic segmentation on postoperative CT images. Then, finite element (FE) models were constructed based on the CT image data of patients and PMMA volume. Appropriate material properties for the trabecular bone were assigned by converting BMD to elastic modulus. Structural reinforcement due to the changes in PMMA volume and BMD was assessed in terms of axial displacement of the superior endplate. A strong correlation was found between the injected PMMA volume and the area of the intertrabecular space and that of trabecular bone calculated from the CT images (r=0.90 and -0.90, respectively). FE results suggested that vertebroplasty could effectively reinforce the osteoporotic vertebra regardless of BMD or PMMA volume. Effectiveness of additional PMMA injection tended to decrease. For patients with BMD well lower than 50mg/ml, injection of up to 30% volume of the vertebral body is recommended. However, less than 30% is recommended otherwise to avoid any complications from excessive PMMA because the strength has already reached the normal level.