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)
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