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Quantitative evaluation of image recognition performance of fiducial markers in real-time tumor-tracking radiation therapy

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/79391

Title: Quantitative evaluation of image recognition performance of fiducial markers in real-time tumor-tracking radiation therapy
Authors: Miyamoto, Naoki Browse this author →KAKEN DB
Maeda, Kenichiro Browse this author
Abo, Daisuke Browse this author →KAKEN DB
Morita, Ryo Browse this author
Takao, Seishin Browse this author →KAKEN DB
Matsuura, Taeko Browse this author →KAKEN DB
Katoh, Norio Browse this author →KAKEN DB
Umegaki, Kikuo Browse this author →KAKEN DB
Shimizu, Shinichi Browse this author →KAKEN DB
Shirato, Hiroki Browse this author →KAKEN DB
Keywords: Fiducial marker
Image recognition
Real-time tumor-tracking radiation therapy
Image-guided radiation therapy
Issue Date: Sep-2019
Publisher: Elsevier
Journal Title: Physica medica : European journal of medical physics
Volume: 65
Start Page: 33
End Page: 39
Publisher DOI: 10.1016/j.ejmp.2019.08.004
PMID: 31430584
Abstract: Purpose: To quantitatively evaluate and compare the image recognition performance of multiple fiducial markers available in real-time tumor-tracking radiation therapy (RTRT). Methods: Clinically available markers including sphere shape, coil shape, cylinder shape, line shape, and ball shape (folded line shape) were evaluated in liver and lung models of RTRT. Maximum thickness of the polymethyl metacrylate (PMMA) phantom that could automatically recognize the marker was determined by template-pattern matching. Image registration accuracy of the fiducial marker was determined using liver RTRT model. Lung RTRT was mimicked with an anthropomorphic chest phantom and a one-dimensional motion stage in order to simulate marker motion in heterogeneous fluoroscopic images. The success or failure of marker tracking and image registration accuracy for the lung model were evaluated in the same manner as that for the liver model. Results: All fiducial markers except for line shape and coil shape of thinner diameter were recognized by the PMMA phantom, which is assumed to have the typical thickness of an abdomen, with two-dimensional image registration accuracy of < 2 pixels. Three-dimensional calculation error with the use of real-time stereoscopic fluoroscopy in RTRT was thought to be within 1 mm. In the evaluation using the lung model, the fiducial markers were recognized stably with sufficient accuracy for clinical application. The same was true for the evaluation using the liver model. Conclusions: The image recognition performance of fiducial markers was quantified and compared. The results presented here may be useful for the selection of fiducial markers.
Rights: © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
https://creativecommons.org/licenses/by-nc-nd/4.0/
Type: article (author version)
URI: http://hdl.handle.net/2115/79391
Appears in Collections:国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 宮本 直樹

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