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Title: Model-based registration for pneumothorax deformation analysis using intraoperative cone-beam CT images
Authors: Maekawa, Hinako
Nakao, Megumi  kyouindb  KAKEN_id  orcid (unconfirmed)
Mineura, Katsutaka
Chen-Yoshikawa, Toyofumi F.
Matsuda, Tetsuya  kyouindb  KAKEN_id  orcid (unconfirmed)
Author's alias: 前川, 日南子
中尾, 恵
峯浦, 一貴
松田, 哲也
Keywords: Lung
Computed tomography
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Journal title: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Start page: 5818
End page: 5821
Thesis number: 9176729
Abstract: Because the lung deforms during surgery because of pneumothorax, it is important to be able to track the location of a tumor. Deformation of the whole lung can be estimated using intraoperative cone-beam CT (CBCT) images. In this study, we used deformable mesh registration methods for paired CBCT images in the inflated and deflated states, and analyzed their deformation. We proposed a deformable mesh registration framework for deformations of partial organ shapes involving large deformation and rotation. Experimental results showed that the proposed methods reduced errors in point-to-point correspondence. As a result of registration using surgical clips placed on the lung surface during imaging, it was confirmed that an average error of 3.9 mm occurred in eight cases. The result of analysis showed that both tissue rotation and contraction had large effects on displacement.
Description: [2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 20-24 July 2020, Montreal, QC, Canada]
Rights: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
DOI(Published Version): 10.1109/EMBC44109.2020.9176729
PubMed ID: 33019297
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