Development of a dynamic deformable thorax phantom for the quality management of deformable image registration

Yasuharu Sugawara, Noriyuki Kadoya, Kazuki Kotabe, Yujiro Nakajima, Ryutaro Ikeda, Shunpei Tanabe, Haruna Ohashi, Keiichi Jingu

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


The purpose of this study was to develop a novel dynamic deformable thorax phantom for deformable image registration (DIR) quality assurance (QA) and to verify as a tool for commissioning and DIR QA. The phantom consists of a base phantom, an inner phantom, and a motor-derived piston. The base phantom is an acrylic cylinder phantom with a diameter of 180 mm. The inner phantom consists of deformable, 20 mm thick disk-shaped sponges. To evaluate the physical characteristics of the phantom, we evaluated its image quality and deformation. DIR accuracies were evaluated using the three types of commercially DIR software (MIM, RayStation, and Velocity AI) to test the feasibility of this phantom. We used different DIR parameters to test the impact of parameters on DIR accuracy in various phantom settings. To evaluate DIR accuracy, a target registration error (TRE) was calculated using the anatomical landmark points. The three locations (i.e., distal, middle, and proximal positions) had different displacement amounts. This result indicated that the inner phantom was not moved but deformed. In cases with different phantom settings and marker settings, the ranges of the average TRE were 0.63–15.60 mm (MIM). In cases with different DIR parameters settings, the ranges of the average TRE were as follows: 0.73–7.10 mm (MIM), 8.25–8.66 mm (RayStation), and 8.26–8.43 mm (Velocity). These results suggest that our phantom could evaluate the detailed DIR behaviors with TRE. Therefore, this is indicative of the potential usefulness of our phantom in DIR commissioning and QA.

Original languageEnglish
Pages (from-to)100-107
Number of pages8
JournalPhysica Medica
Publication statusPublished - 2020 Sept


  • Deformable image registration
  • Physical phantom
  • Quality assurance
  • Radiotherapy
  • Target registration error


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