Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy

Jiann Der Lee; Hou Chuan Chen; Shih Hong Li

doi:10.1109/ICASI.2018.8394555

Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy

Jiann Der Lee^*, Hou Chuan Chen, Shih Hong Li

^*Corresponding author for this work

Department of Electrical Engineering

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

Abstract

Endobronchial navigation system in the transbronchial lung biopsy is an important tool during the operation, including the alignment of bronchoscopic images and preoperative CT image, to help the precise positioning of target lesions. In this study, a new method with coarse-to-fine strategy is proposed to achieve this goal. First of all, with the aid of optical flow method, epipolar geometry analysis between the two consequential images is used to obtain the initial position of the bronchoscopy. Next, in the stage of image similarity comparison, the property of image saturation and brightness is employed to effectively eliminate the reflection caused by the endoscope light source and the bubbles generated by saliva interference. The experimental results also show that the proposed method can provide clinicians the spatial information needed for bronchoscopic follow-up.

Original language	English
Title of host publication	Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
Editors	Artde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	155-157
Number of pages	3
ISBN (Electronic)	9781538643426
DOIs	https://doi.org/10.1109/ICASI.2018.8394555
State	Published - 22 06 2018
Event	4th IEEE International Conference on Applied System Innovation, ICASI 2018 - Chiba, Japan Duration: 13 04 2018 → 17 04 2018

Publication series

Name	Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018

Conference

Conference	4th IEEE International Conference on Applied System Innovation, ICASI 2018
Country/Territory	Japan
City	Chiba
Period	13/04/18 → 17/04/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

image registration
similarity measure

Access to Document

10.1109/ICASI.2018.8394555

Cite this

Lee, J. D., Chen, H. C., & Li, S. H. (2018). Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy. In A. D. K.-T. Lam, S. D. Prior, & T.-H. Meen (Eds.), Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018 (pp. 155-157). (Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASI.2018.8394555

Lee, Jiann Der ; Chen, Hou Chuan ; Li, Shih Hong. / Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy. Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018. editor / Artde Donald Kin-Tak Lam ; Stephen D. Prior ; Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 155-157 (Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018).

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title = "Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy",

abstract = "Endobronchial navigation system in the transbronchial lung biopsy is an important tool during the operation, including the alignment of bronchoscopic images and preoperative CT image, to help the precise positioning of target lesions. In this study, a new method with coarse-to-fine strategy is proposed to achieve this goal. First of all, with the aid of optical flow method, epipolar geometry analysis between the two consequential images is used to obtain the initial position of the bronchoscopy. Next, in the stage of image similarity comparison, the property of image saturation and brightness is employed to effectively eliminate the reflection caused by the endoscope light source and the bubbles generated by saliva interference. The experimental results also show that the proposed method can provide clinicians the spatial information needed for bronchoscopic follow-up.",

keywords = "image registration, similarity measure",

author = "Lee, {Jiann Der} and Chen, {Hou Chuan} and Li, {Shih Hong}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th IEEE International Conference on Applied System Innovation, ICASI 2018 ; Conference date: 13-04-2018 Through 17-04-2018",

year = "2018",

month = jun,

day = "22",

doi = "10.1109/ICASI.2018.8394555",

language = "英语",

series = "Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018",

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Lee, JD, Chen, HC & Li, SH 2018, Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy. in ADK-T Lam, SD Prior & T-H Meen (eds), Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018. Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 155-157, 4th IEEE International Conference on Applied System Innovation, ICASI 2018, Chiba, Japan, 13/04/18. https://doi.org/10.1109/ICASI.2018.8394555

Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy. / Lee, Jiann Der; Chen, Hou Chuan; Li, Shih Hong.
Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018. ed. / Artde Donald Kin-Tak Lam; Stephen D. Prior; Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2018. p. 155-157 (Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018).

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

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N2 - Endobronchial navigation system in the transbronchial lung biopsy is an important tool during the operation, including the alignment of bronchoscopic images and preoperative CT image, to help the precise positioning of target lesions. In this study, a new method with coarse-to-fine strategy is proposed to achieve this goal. First of all, with the aid of optical flow method, epipolar geometry analysis between the two consequential images is used to obtain the initial position of the bronchoscopy. Next, in the stage of image similarity comparison, the property of image saturation and brightness is employed to effectively eliminate the reflection caused by the endoscope light source and the bubbles generated by saliva interference. The experimental results also show that the proposed method can provide clinicians the spatial information needed for bronchoscopic follow-up.

AB - Endobronchial navigation system in the transbronchial lung biopsy is an important tool during the operation, including the alignment of bronchoscopic images and preoperative CT image, to help the precise positioning of target lesions. In this study, a new method with coarse-to-fine strategy is proposed to achieve this goal. First of all, with the aid of optical flow method, epipolar geometry analysis between the two consequential images is used to obtain the initial position of the bronchoscopy. Next, in the stage of image similarity comparison, the property of image saturation and brightness is employed to effectively eliminate the reflection caused by the endoscope light source and the bubbles generated by saliva interference. The experimental results also show that the proposed method can provide clinicians the spatial information needed for bronchoscopic follow-up.

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KW - similarity measure

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Lee JD, Chen HC, Li SH. Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy. In Lam ADKT, Prior SD, Meen TH, editors, Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 155-157. (Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018). doi: 10.1109/ICASI.2018.8394555

Registration of bronchoscopic image and CT virtual image with coarse-to-fine strategy

Abstract

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Bibliographical note

Keywords

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