カナイ　タカユキ   Kanai Takayuki   金井　貴幸    所属   医学部 医学科（東京女子医科大学病院）    職種   講師
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images.
掲載誌名	正式名：Journal of radiation research 略　 称：J Radiat Res ISSNコード：13499157/04493060
掲載区分	国外
巻・号・頁	55(6),pp.1163-70
著者・共著者	Kanai Takayuki, Kadoya Noriyuki, Ito Kengo, Onozato Yusuke, Cho Sang Yong, Kishi Kazuma, Dobashi Suguru, Umezawa Rei, Matsushita Haruo, Takeda Ken, Jingu Keiichi
担当区分	筆頭著者
発行年月	2014/11
概要	Deformable image registration (DIR) is fundamental technique for adaptive radiotherapy and image-guided radiotherapy. However, further improvement of DIR is still needed. We evaluated the accuracy of B-spline transformation-based DIR implemented in elastix. This registration package is largely based on the Insight Segmentation and Registration Toolkit (ITK), and several new functions were implemented to achieve high DIR accuracy. The purpose of this study was to clarify whether new functions implemented in elastix are useful for improving DIR accuracy. Thoracic 4D computed tomography images of ten patients with esophageal or lung cancer were studied. Datasets for these patients were provided by DIR-lab (dir-lab.com) and included a coordinate list of anatomical landmarks that had been manually identified. DIR between peak-inhale and peak-exhale images was performed with four types of parameter settings. The first one represents original ITK (Parameter 1). The second employs the new function of elastix (Parameter 2), and the third was created to verify whether new functions improve DIR accuracy while keeping computational time (Parameter 3). The last one partially employs a new function (Parameter 4). Registration errors for these parameter settings were calculated using the manually determined landmark pairs. 3D registration errors with standard deviation over all cases were 1.78 (1.57), 1.28 (1.10), 1.44 (1.09) and 1.36 (1.35) mm for Parameter 1, 2, 3 and 4, respectively, indicating that the new functions are useful for improving DIR accuracy, even while maintaining the computational time, and this B-spline-based DIR could be used clinically to achieve high-accuracy adaptive radiotherapy.
DOI	10.1093/jrr/rru062
PMID	25053349