• Proceedings of the KSMRM Conference
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• 2002.11a
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• pp.137-137
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• 2002

목적： 동시획득 T1/T2 강조 경사자장 펄스열을 이용하여 근골격계의 종양 관류 평가를 하고자 한다. 대상 및 방법： 근골격계 양성 및 악성 종양을 대상으로 동시획득 T1/T2 강조 경사자장 펄스열을 이용하여 시간해상도를 1.2초로 하여 1000회(약20분)를 반복하여 역동적 영상을 얻는다. 각각의 TR/TE1/TE2는 10/2/8 msec이다. 각 시기에서 서로 다른 TE를 가지고 있는 두 개의 영상을 이용하여, 수학적으로 분리하여 T1과 T2 값을 얻고, 이를 시간에 따라 배열한다. 이를 통하여, T2의 경우에는 일차효과를 이용하여 조직관류량(tissue blood volume)을 측정하고, T1에서는 2구획모델을 이용하여 투과도(permeability)를 측정한다.

• 월간산업보건
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• no.7 s.243
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• pp.68-69
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• 2008

• Journal of the Korean Society for Precision Engineering
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• v.22 no.11 s.176
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• pp.7-15
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• 2005

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.1015-1016
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• 2010

• Journal of Life Science
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• v.26 no.5
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• pp.592-602
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• 2016

This study investigated the muscular dystrophin levels in freely moving Australian cattle mainly fed grass, freely moving Korean cattle fed mainly a grain diet, and Korean cattle fed a grain diet but housed in a relatively limited space of a cow house. The total skeletal muscle specimens of 244 cattle were collected and immediately fixed in 10% neutral formalin. The same area was biopsied from the cattle in both countries. The findings showed that fatty infiltration is highly correlated with membrane-associated protein degradation in skeletal muscle, and that among several membrane-associated proteins, dystrophin showed the most significant reduction in expression in the cattle with fatty infiltration. Similarly, CD36 was more highly expressed in the cattle with fatty infiltration of skeletal muscle. Various breeding factors, such as oxidative stress; the presence of oxidized lipids in the diet; and environmental factors such as exercise, temperature and amount of time spent, may have critical effects on the degradation of normal cytoskeleton proteins, which are required for maintaining normal skeletal muscle architecture. Among the sarcolemma membrane-associated proteins, dystrophin is the most sensitive membrane protein that is involved muscular dystrophy and muscular degeneration. Thus, the present findings may be useful for studies on muscular dystrophy in humans or the pathogenesis of muscular diseases in animal models.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.1207-1208
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• 2012

• Journal of the Korean Society for Precision Engineering
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• v.24 no.12
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• pp.29-35
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• 2007

• Journal of the Korean Society for Precision Engineering
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• v.24 no.12
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• pp.20-28
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• 2007

• Journal of the Korean Society for Nondestructive Testing
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• v.31 no.5
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• pp.494-499
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• 2011

This paper presents the biomechanical analysis and evaluation technology of musculoskeletal system by multi-body human dynamic model and 3-D motion capture data. First, medical image based geometric model and material properties of tissue were used to develop the human dynamic model and 3-D motion capture data based motion analysis techniques were develop to quantify the in-vivo joint kinematics, joint moment, joint force, and muscle force. Walking and push-up motion was investigated using the developed model. The present model and technologies would be useful to apply the biomechanical analysis and evaluation of human activities.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.491-500
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• 2021

In this study, we propose a method for detecting fall behavior using MS Kinect v2 RGBD Camera-based Human-Skeleton Keypoints and a 2-Stacked Bi-LSTM model. In previous studies, skeletal information was extracted from RGB images using a deep learning model such as OpenPose, and then recognition was performed using a recurrent neural network model such as LSTM and GRU. The proposed method receives skeletal information directly from the camera, extracts 2 time-series features of acceleration and distance, and then recognizes the fall behavior using the 2-Stacked Bi-LSTM model. The central joint was obtained for the major skeletons such as the shoulder, spine, and pelvis, and the movement acceleration and distance from the floor were proposed as features of the central joint. The extracted features were compared with models such as Stacked LSTM and Bi-LSTM, and improved detection performance compared to existing studies such as GRU and LSTM was demonstrated through experiments.