TY - GEN
T1 - Effect of automatic landmark identification on CSCPG reconstruction
AU - Kumar, Sampath
AU - Nayak, K. Prabhakar
AU - Hareesha, K. S.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/12
Y1 - 2017/10/12
N2 - Scoliosis is a 3D deformation of the human spine. It is evaluated using 3D stereo-radiographic reconstruction from the biplanar x-rays. The combined stereo-corresponding point and geometric (CSCPG) reconstruction algorithm is used for this purpose. The CSCPG reconstruction requires six stereo-corresponding landmarks per vertebra to be identified on the biplanar x-rays. Currently, these landmarks are semi automatically identified. In this paper, the landmark identification procedure is automated and the effect of automated procedures on the accuracy of 3D reconstruction is analyzed. The statistical significance test is performed to compare the accuracies of these reconstructions. The benefits of automated procedure are twofold. It is able to give better reconstruction accuracy and at the same time it also reduces observer variability.
AB - Scoliosis is a 3D deformation of the human spine. It is evaluated using 3D stereo-radiographic reconstruction from the biplanar x-rays. The combined stereo-corresponding point and geometric (CSCPG) reconstruction algorithm is used for this purpose. The CSCPG reconstruction requires six stereo-corresponding landmarks per vertebra to be identified on the biplanar x-rays. Currently, these landmarks are semi automatically identified. In this paper, the landmark identification procedure is automated and the effect of automated procedures on the accuracy of 3D reconstruction is analyzed. The statistical significance test is performed to compare the accuracies of these reconstructions. The benefits of automated procedure are twofold. It is able to give better reconstruction accuracy and at the same time it also reduces observer variability.
UR - https://www.scopus.com/pages/publications/85034081604
UR - https://www.scopus.com/pages/publications/85034081604#tab=citedBy
U2 - 10.1109/CSCITA.2017.8066571
DO - 10.1109/CSCITA.2017.8066571
M3 - Conference contribution
AN - SCOPUS:85034081604
T3 - 2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Proceedings
SP - 33
EP - 36
BT - 2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017
Y2 - 7 April 2017 through 8 April 2017
ER -