Journal of the Korean Physical Society

, Volume 67, Issue 1, pp 218–223 | Cite as

Evaluation of various deformable image registrations for point and volume variations

  • Su Chul Han
  • Soon Sung Lee
  • Mi-Sook Kim
  • Young Hoon Ji
  • Kum Bae Kim
  • Sang Hyun Choi
  • Seungwoo Park
  • Haijo Jung
  • Hyung Jun Yoo
  • Chul Young Yi
Article
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Abstract

The accuracy of deformable image registration (DIR) has a significant dosimetric impact in radiationtreatment planning. Many groups have studied the accuracy of DIR. In this study, we evaluatedthe accuracy of various DIR algorithms by using variations of the deformation point and volume.The reference image (I ref ) and volume (V ref ) were first generated by using virtual deformation QAsoftware (ImSimQA, Oncology System Limited, UK). We deformed I ref with axial movement of thedeformation point and V ref , depending on the type of deformation (relaxation and contraction) inImSimQA software. The deformed image (I def ) and volume (V def ) acquired by using the ImSimQAsoftware were inversely deformed relative to I ref and V ref by using DIR algorithms. As a result,we acquired a deformed image (I id ) from I def and volume (V id ) from V ref . Four intensity-basedalgorithms were tested by following the horn-schunk optical flow (HS), iterative optical flow (IOF),modified demons (MD) and fast demons (FD) with the Deformable Image Registration and AdaptiveRadiotherapy Toolkit (DIRART) of MATLAB. The image similarity between I ref and I id wascalculated to evaluate the accuracy of DIR algorithms using by Normalized Mutual Information(NMI) and Normalized Cross Correlation (NCC) metrics, when the distance of point deformationwas moved 4 mm, the value of NMI was above 1.81 and that of NCC was above 0.99 in all DIRalgorithms. As the degree of deformation was increased, the degree of image similarity decreased.When the V ref was increased or decreased by about 12%, the difference between V ref and V id waswithin ±5% regardless of the type of deformation, the deformation was classified into two types:deformation 1 increased the V ref (relaxation) and deformation 2 decreased the V ref (contraction).The value of the Dice Similarity Coefficient (DSC) was above 0.95 in deformation 1 except for theMD algorithm. In the case of deformation 2, the value of the DSC was above 0.95 in all DIR algorithms.The I def and the V def were not completely restored to I ref and V ref , and the accuracy ofthe DIR algorithms were different, depending on the degree of deformation. Hence, the performanceof DIR algorithms should be verified for the desired applications

Keywords

Deformable Image registration (DIR) Adaptive radiotherapy Deformable image registration and adaptive radiotherapy toolkit (DIRART) 
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Copyright information

© The Korean Physical Society 2015

Authors and Affiliations

  • Su Chul Han
    • 1
  • Soon Sung Lee
    • 1
  • Mi-Sook Kim
    • 1
  • Young Hoon Ji
    • 1
  • Kum Bae Kim
    • 1
  • Sang Hyun Choi
    • 2
  • Seungwoo Park
    • 2
  • Haijo Jung
    • 2
  • Hyung Jun Yoo
    • 2
  • Chul Young Yi
    • 3
  1. 1.Department of Radiological Cancer MedicineUniversity of Science and TechnologyDaejeonKorea
  2. 2.Research Center for RadiotherapyKorea Institute of Radiological and Medical SciencesSeoulKorea
  3. 3.Department of Ionizing Radiation StandardsKorea Research Institute of Standards and ScienceDaejeonKorea

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