Chest boundary shape estimation using a RGBD camera and pattern markers for robust lung electrical impedance tomography

Young Na; Yunjung Lee; Jun Geon Kim; Daeho Lee

doi:10.1145/3127942.3127950

Chest boundary shape estimation using a RGBD camera and pattern markers for robust lung electrical impedance tomography

Young Na, Yunjung Lee, Jun Geon Kim, Daeho Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

We propose a novel chest boundary estimation method using a RGBD camera for robust lung electric impedance tomography (EIT). For EIT imaging, sixteen electrodes are generally used, so we use the twelve electrodes as color markers and put pattern markers on the rest four electrodes. The color and pattern markers are detect to extract surface patches. The detected pattern markers are refined by affine parameters to correctly recognize the patterns. The boundary shapes are reconstructed by the registration using translation and rotation of consecutive surface patches. In the experiment results, the relative error of a round table is 0.0169, the processing fame rate is more than 12 frames/sec without GPU (graphics processing unit), and the more robust EIT reconstruction results are shown.

Original language	English
Title of host publication	Proceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
Publisher	Association for Computing Machinery
Pages	19-22
Number of pages	4
ISBN (Electronic)	9781450352840
DOIs	https://doi.org/10.1145/3127942.3127950
Publication status	Published - 10 Aug 2017
Event	2017 International Conference on Algorithms, Computing and Systems, ICACS 2017 - Jeju Island, Korea, Republic of Duration: 10 Aug 2017 → 13 Aug 2017

Publication series

Name	ACM International Conference Proceeding Series
Volume	Part F132084

Conference

Conference	2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
Country/Territory	Korea, Republic of
City	Jeju Island
Period	10/08/17 → 13/08/17

Bibliographical note

Publisher Copyright:
© 2017 Association for Computing Machinery.

Keywords

Chest boundary estimation
Electrical impedance tomography
RGBD camera
Registration

Access to Document

10.1145/3127942.3127950

Cite this

Na, Y., Lee, Y., Kim, J. G., & Lee, D. (2017). Chest boundary shape estimation using a RGBD camera and pattern markers for robust lung electrical impedance tomography. In Proceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017 (pp. 19-22). (ACM International Conference Proceeding Series; Vol. Part F132084). Association for Computing Machinery. https://doi.org/10.1145/3127942.3127950

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title = "Chest boundary shape estimation using a RGBD camera and pattern markers for robust lung electrical impedance tomography",

abstract = "We propose a novel chest boundary estimation method using a RGBD camera for robust lung electric impedance tomography (EIT). For EIT imaging, sixteen electrodes are generally used, so we use the twelve electrodes as color markers and put pattern markers on the rest four electrodes. The color and pattern markers are detect to extract surface patches. The detected pattern markers are refined by affine parameters to correctly recognize the patterns. The boundary shapes are reconstructed by the registration using translation and rotation of consecutive surface patches. In the experiment results, the relative error of a round table is 0.0169, the processing fame rate is more than 12 frames/sec without GPU (graphics processing unit), and the more robust EIT reconstruction results are shown.",

keywords = "Chest boundary estimation, Electrical impedance tomography, RGBD camera, Registration",

author = "Young Na and Yunjung Lee and Kim, {Jun Geon} and Daeho Lee",

note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017 ; Conference date: 10-08-2017 Through 13-08-2017",

year = "2017",

month = aug,

day = "10",

doi = "10.1145/3127942.3127950",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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Na, Y, Lee, Y, Kim, JG & Lee, D 2017, Chest boundary shape estimation using a RGBD camera and pattern markers for robust lung electrical impedance tomography. in Proceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017. ACM International Conference Proceeding Series, vol. Part F132084, Association for Computing Machinery, pp. 19-22, 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017, Jeju Island, Korea, Republic of, 10/08/17. https://doi.org/10.1145/3127942.3127950

Chest boundary shape estimation using a RGBD camera and pattern markers for robust lung electrical impedance tomography. / Na, Young; Lee, Yunjung; Kim, Jun Geon et al.
Proceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017. Association for Computing Machinery, 2017. p. 19-22 (ACM International Conference Proceeding Series; Vol. Part F132084).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lee, Yunjung

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AU - Lee, Daeho

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N2 - We propose a novel chest boundary estimation method using a RGBD camera for robust lung electric impedance tomography (EIT). For EIT imaging, sixteen electrodes are generally used, so we use the twelve electrodes as color markers and put pattern markers on the rest four electrodes. The color and pattern markers are detect to extract surface patches. The detected pattern markers are refined by affine parameters to correctly recognize the patterns. The boundary shapes are reconstructed by the registration using translation and rotation of consecutive surface patches. In the experiment results, the relative error of a round table is 0.0169, the processing fame rate is more than 12 frames/sec without GPU (graphics processing unit), and the more robust EIT reconstruction results are shown.

AB - We propose a novel chest boundary estimation method using a RGBD camera for robust lung electric impedance tomography (EIT). For EIT imaging, sixteen electrodes are generally used, so we use the twelve electrodes as color markers and put pattern markers on the rest four electrodes. The color and pattern markers are detect to extract surface patches. The detected pattern markers are refined by affine parameters to correctly recognize the patterns. The boundary shapes are reconstructed by the registration using translation and rotation of consecutive surface patches. In the experiment results, the relative error of a round table is 0.0169, the processing fame rate is more than 12 frames/sec without GPU (graphics processing unit), and the more robust EIT reconstruction results are shown.

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KW - RGBD camera

KW - Registration

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Na Y, Lee Y, Kim JG, Lee D. Chest boundary shape estimation using a RGBD camera and pattern markers for robust lung electrical impedance tomography. In Proceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017. Association for Computing Machinery. 2017. p. 19-22. (ACM International Conference Proceeding Series). doi: 10.1145/3127942.3127950

Chest boundary shape estimation using a RGBD camera and pattern markers for robust lung electrical impedance tomography

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Keywords

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