Effect of automatic landmark identification on CSCPG reconstruction

Sampath Kumar, K. Prabhakar Nayak, K. S. Hareesha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-36
Number of pages4
ISBN (Electronic)9781509043811
DOIs
Publication statusPublished - 12-10-2017
Event2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Mumbai, India
Duration: 07-04-201708-04-2017

Conference

Conference2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017
CountryIndia
CityMumbai
Period07-04-1708-04-17

Fingerprint

Landmarks
X rays
Statistical tests
Geometric Algorithms
Significance Test
Spine
Statistical Significance
3D Reconstruction
Reconstruction Algorithm
Statistical test
Observer

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization

Cite this

Kumar, S., Nayak, K. P., & Hareesha, K. S. (2017). Effect of automatic landmark identification on CSCPG reconstruction. In 2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Proceedings (pp. 33-36). [8066571] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCITA.2017.8066571
Kumar, Sampath ; Nayak, K. Prabhakar ; Hareesha, K. S. / Effect of automatic landmark identification on CSCPG reconstruction. 2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 33-36
@inproceedings{903c22fa2bca456cbb4eb0d3915f4723,
title = "Effect of automatic landmark identification on CSCPG reconstruction",
abstract = "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.",
author = "Sampath Kumar and Nayak, {K. Prabhakar} and Hareesha, {K. S.}",
year = "2017",
month = "10",
day = "12",
doi = "10.1109/CSCITA.2017.8066571",
language = "English",
pages = "33--36",
booktitle = "2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

Kumar, S, Nayak, KP & Hareesha, KS 2017, Effect of automatic landmark identification on CSCPG reconstruction. in 2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Proceedings., 8066571, Institute of Electrical and Electronics Engineers Inc., pp. 33-36, 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017, Mumbai, India, 07-04-17. https://doi.org/10.1109/CSCITA.2017.8066571

Effect of automatic landmark identification on CSCPG reconstruction. / Kumar, Sampath; Nayak, K. Prabhakar; Hareesha, K. S.

2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 33-36 8066571.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Effect of automatic landmark identification on CSCPG reconstruction

AU - Kumar, Sampath

AU - Nayak, K. Prabhakar

AU - Hareesha, K. S.

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 - http://www.scopus.com/inward/record.url?scp=85034081604&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85034081604&partnerID=8YFLogxK

U2 - 10.1109/CSCITA.2017.8066571

DO - 10.1109/CSCITA.2017.8066571

M3 - Conference contribution

AN - SCOPUS:85034081604

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.

ER -

Kumar S, Nayak KP, Hareesha KS. Effect of automatic landmark identification on CSCPG reconstruction. In 2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 33-36. 8066571 https://doi.org/10.1109/CSCITA.2017.8066571