TY - GEN
T1 - Development of 4-dimensional human model system for the patient after total hip arthroplasty
AU - Otake, Yoshito
AU - Hagio, Keisuke
AU - Suzuki, Naoki
AU - Hattori, Asaki
AU - Sugano, Nobuhiko
AU - Yonenobu, Kazuo
AU - Ochi, Takahiro
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - In total hip arthroplasty(THA), complications such as dislocation, loosening, or wearing of the sliding surface are serious clinical problem, and the daily motion of patients has been limited to some extent. However, it is hard to recognize the situation of the components during movement and to predict complications. We have developed the 4-dimensional human model that can visualize the motion of the patient’s skeleton and estimate the risk of complications using computer simulation. At first we constructed a 3-dimensional skeletal model of the patient’s lower limb from CT data. Then we acquired motion capture data from an infrared position sensor (VICON512, VICON Motion Systems, UK), and drove the patient’s skeletal model corresponding to the captured data. Thus we were able to predict the prognosis after the installation of the artificial hip joint, and we have examined the accuracy of the measurements in this system following an experiment using an open MRI.
AB - In total hip arthroplasty(THA), complications such as dislocation, loosening, or wearing of the sliding surface are serious clinical problem, and the daily motion of patients has been limited to some extent. However, it is hard to recognize the situation of the components during movement and to predict complications. We have developed the 4-dimensional human model that can visualize the motion of the patient’s skeleton and estimate the risk of complications using computer simulation. At first we constructed a 3-dimensional skeletal model of the patient’s lower limb from CT data. Then we acquired motion capture data from an infrared position sensor (VICON512, VICON Motion Systems, UK), and drove the patient’s skeletal model corresponding to the captured data. Thus we were able to predict the prognosis after the installation of the artificial hip joint, and we have examined the accuracy of the measurements in this system following an experiment using an open MRI.
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U2 - 10.1007/3-540-45786-0_30
DO - 10.1007/3-540-45786-0_30
M3 - Conference contribution
AN - SCOPUS:84974678910
SN - 9783540457862
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 241
EP - 247
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002 - 5th International Conference, Proceedings
A2 - Dohi, Takeyoshi
A2 - Kikinis, Ron
PB - Springer Verlag
T2 - 5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
Y2 - 25 September 2002 through 28 September 2002
ER -