TY - GEN
T1 - 3D reconstruction of a femoral shape using a parametric model and two 2D fluoroscopic images
AU - Kurazume, Ryo
AU - Nakamura, Kaori
AU - Okada, Toshiyuki
AU - Sato, Yoshinobu
AU - Sugano, Nobuhiko
AU - Koyama, Tsuyoshi
AU - Iwashita, Yumi
AU - Hasegawa, Tsutomu
PY - 2007
Y1 - 2007
N2 - In medical diagnostic imaging, an X-ray CT scanner or a MRI system have been widely used to examine 3D shapes or internal structures of living organisms or bones. However, these apparatuses are generally very expensive and of large size. A prior arrangement is also required before an examination, and thus, it is not suitable for an urgent fracture diagnosis in emergency treatment. This paper proposes a method to estimate a patient-specific 3D shape of a femur from only two fluoroscopic images using a parametric femoral model. Firstly, we develop a parametric femoral model by statistical analysis of a number of 3D femoral shapes created from CT images of 51 patients. Then, the pose and shape parameters of the parametric model are estimated from two 2D fluoroscopic images using a distance map constructed by the Level Set Method. Experiments using synthesized images and fluoroscopic images of a phantom femur are successfully carried out and the usefulness of the proposed method is verified.
AB - In medical diagnostic imaging, an X-ray CT scanner or a MRI system have been widely used to examine 3D shapes or internal structures of living organisms or bones. However, these apparatuses are generally very expensive and of large size. A prior arrangement is also required before an examination, and thus, it is not suitable for an urgent fracture diagnosis in emergency treatment. This paper proposes a method to estimate a patient-specific 3D shape of a femur from only two fluoroscopic images using a parametric femoral model. Firstly, we develop a parametric femoral model by statistical analysis of a number of 3D femoral shapes created from CT images of 51 patients. Then, the pose and shape parameters of the parametric model are estimated from two 2D fluoroscopic images using a distance map constructed by the Level Set Method. Experiments using synthesized images and fluoroscopic images of a phantom femur are successfully carried out and the usefulness of the proposed method is verified.
UR - http://www.scopus.com/inward/record.url?scp=36348940387&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=36348940387&partnerID=8YFLogxK
U2 - 10.1109/ROBOT.2007.363928
DO - 10.1109/ROBOT.2007.363928
M3 - Conference contribution
AN - SCOPUS:36348940387
SN - 1424406021
SN - 9781424406029
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 3002
EP - 3008
BT - 2007 IEEE International Conference on Robotics and Automation, ICRA'07
T2 - 2007 IEEE International Conference on Robotics and Automation, ICRA'07
Y2 - 10 April 2007 through 14 April 2007
ER -