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Authors: Kuei-Ting Chou 1 ; Kujtim Latifi 2 ; Eduardo G. Moros 2 ; Vladimir Feygelman 2 ; Tzung-Chi Huang 1 ; Thomas J. Dilling 2 ; Bradford Perez 2 and Geoffrey G. Zhang 2

Affiliations: 1 China Medical University, Taiwan ; 2 Moffitt Cancer Center, United States

ISBN: 978-989-758-278-3

Keyword(s): Radiomic Features, Deformable Image Registration, Stability.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Feature Recognition and Extraction Methods ; Image Processing Methods

Abstract: Radiomic features are currently being evaluated as potential imaging biomarkers. Deformable image registration (DIR) is now routinely applied in many medical imaging applications. Usually, DIR is applied in one of two ways: a) mapping the surface of a contoured volume, or b) mapping the image intensities. This study investigated radiomic feature stability when DIR is applied in these two ways using four dimensional computed tomography (4DCT) data. DIR was applied between the inspiration and expiration phases of 4DCT datasets. Radiomic features were extracted from (1) the expiration phases of 25 lung cancer 4DCT datasets within the contoured tumor volumes, (2) the inspiration phases with the mapped tumor volumes, and (3) the inspiration phases deformed to the corresponding expiration phases of the original contoured volumes. The mean variation and the concordance correlation coefficient (CCC) between these 3 sets of features were analyzed. Many features were found unstable (mean variat ion > 50% or CCC < 0.5) when DIR was applied in either way. Caution is needed in radiomic feature applications when DIR is necessary. (More)

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Paper citation in several formats:
Chou K., Latifi K., Moros E., Feygelman V., Huang T., Dilling T., Perez B. and Zhang G. (2018). Evaluation of Radiomic Features Stability When Deformable Image Registration Is Applied.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, ISBN 978-989-758-278-3, pages 153-158. DOI: 10.5220/0006694301530158

@conference{bioimaging18,
author={Kuei-Ting Chou and Kujtim Latifi and Eduardo G. Moros and Vladimir Feygelman and Tzung-Chi Huang and Thomas J. Dilling and Bradford Perez and Geoffrey G. Zhang},
title={Evaluation of Radiomic Features Stability When Deformable Image Registration Is Applied},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING,},
year={2018},
pages={153-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006694301530158},
isbn={978-989-758-278-3},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING,
TI - Evaluation of Radiomic Features Stability When Deformable Image Registration Is Applied
SN - 978-989-758-278-3
AU - Chou K.
AU - Latifi K.
AU - Moros E.
AU - Feygelman V.
AU - Huang T.
AU - Dilling T.
AU - Perez B.
AU - Zhang G.
PY - 2018
SP - 153
EP - 158
DO - 10.5220/0006694301530158

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