Evaluation of various deformable image registrations for point and volume variations

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• 作者：Su Chul Han ; Soon Sung Lee ; Mi-Sook Kim…
• 关键词：Deformable Image registration (DIR) ; Adaptive radiotherapy ; Deformable image registration and adaptive radiotherapy toolkit (DIRART)
• 刊名：Journal of the Korean Physical Society
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：67
• 期：1
• 页码：218-223
• 全文大小：1,079 KB
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• 作者单位：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. Department of Radiological Cancer Medicine, University of Science and Technology, Daejeon, 305-350, Korea
  2. Research Center for Radiotherapy, Korea Institute of Radiological and Medical Sciences, Seoul, 139-706, Korea
  3. Department of Ionizing Radiation Standards, Korea Research Institute of Standards and Science, Daejeon, 305-340, Korea
  
• 刊物主题：Physics, general; Theoretical, Mathematical and Computational Physics; Particle and Nuclear Physics;
• 出版者：Springer Netherlands
• ISSN：1976-8524

文摘

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