Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images

Takayuki Kanai, Noriyuki Kadoya, Kengo Ito, Yusuke Onozato, Sang Yong Cho, Kazuma Kishi, Suguru Dobashi, Rei Umezawa, Haruo Matsushita, Ken Takeda, Keiichi Jingu

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


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 peakinhale 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.

Original languageEnglish
Pages (from-to)1163-1170
Number of pages8
JournalJournal of radiation research
Issue number6
Publication statusPublished - 2014 Nov 1


  • 4DCT
  • Adaptive radiotherapy
  • Deformable image registration
  • Lung

ASJC Scopus subject areas

  • Radiation
  • Radiology Nuclear Medicine and imaging
  • Health, Toxicology and Mutagenesis


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