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      KCI등재 SCI SCIE SCOPUS

      Evaluation of Various Deformable Image Registrations for Point and Volume Variations

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      https://www.riss.kr/link?id=A104202234

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      다국어 초록 (Multilingual Abstract)

      The accuracy of deformable image registration (DIR) has a significant dosimetric impact in radiation treatment planning. Many groups have studied the accuracy of DIR. In this study, we evaluated the accuracy of various DIR algorithms by using variatio...

      The accuracy of deformable image registration (DIR) has a significant dosimetric impact in radiation treatment planning. Many groups have studied the accuracy of DIR. In this study, we evaluated the accuracy of various DIR algorithms by using variations of the deformation point and volume.
      The reference image (Iref ) and volume (Vref ) were first generated by using virtual deformation QA software (ImSimQA, Oncology System Limited, UK). We deformed Iref with axial movement of the deformation point and Vref , depending on the type of deformation (relaxation and contraction) in ImSimQA software. The deformed image (Idef ) and volume (Vdef ) acquired by using the ImSimQA software were inversely deformed relative to Iref and Vref by using DIR algorithms. As a result, we acquired a deformed image (Iid) from Idef and volume (Vid) from Vref . Four intensity-based algorithms 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 Adaptive Radiotherapy Toolkit (DIRART) of MATLAB. The image similarity between Iref and Iid was calculated to evaluate the accuracy of DIR algorithms using by Normalized Mutual Information (NMI) and Normalized Cross Correlation (NCC) metrics, when the distance of point deformation was moved 4 mm, the value of NMI was above 1.81 and that of NCC was above 0.99 in all DIR algorithms. As the degree of deformation was increased, the degree of image similarity decreased.
      When the Vref was increased or decreased by about 12%, the difference between Vref and Vid was within ±5% regardless of the type of deformation, the deformation was classified into two types: deformation 1 increased the Vref (relaxation) and deformation 2 decreased the Vref (contraction).
      The value of the Dice Similarity Coefficient (DSC) was above 0.95 in deformation 1 except for the MD algorithm. In the case of deformation 2, the value of the DSC was above 0.95 in all DIR algorithms.
      The Idef and the Vdef were not completely restored to Iref and Vref , and the accuracy of the DIR algorithms were different, depending on the degree of deformation. Hence, the performance of DIR algorithms should be verified for the desired applications

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      참고문헌 (Reference)

      1 U. J. Yeo, 39 : 5065-, 2012

      2 U. J. Yeo, 40 : 10171-, 2013

      3 M. L. Kessler, 79 : 99-, 2006

      4 D. Ragan, 32 : 2254-, 2005

      5 G. Zhang, 15 : 112-, 2008

      6 S. Wognum, 41 : 5065-, 2014

      7 N. Kriby, 40 : 011702-, 2013

      8 J. D. Lawson, 8 : 2432-, 2007

      9 Y. Yaegashi, 3 : 137-, 2012

      10 B. G. Fallone, 11 : 101-, 2010

      1 U. J. Yeo, 39 : 5065-, 2012

      2 U. J. Yeo, 40 : 10171-, 2013

      3 M. L. Kessler, 79 : 99-, 2006

      4 D. Ragan, 32 : 2254-, 2005

      5 G. Zhang, 15 : 112-, 2008

      6 S. Wognum, 41 : 5065-, 2014

      7 N. Kriby, 40 : 011702-, 2013

      8 J. D. Lawson, 8 : 2432-, 2007

      9 Y. Yaegashi, 3 : 137-, 2012

      10 B. G. Fallone, 11 : 101-, 2010

      11 A. Cherpak, 38 : 179-, 2010

      12 M. Serban, 35 : 1094-, 2008

      13 U. J. Yeo, 39 : 2203-, 2012

      14 F. L. Bookstein, 11 : 567-, 1989

      15 R. Varadhan, 14 : 4066-, 2013

      16 K. Nie, 40 : 041911-, 2013

      17 J. Pukala, 40 : 111703-, 2013

      18 D. Yang, 38 : 67-, 2011

      19 B. K. P. Horn, 17 : 185-, 1981

      20 J. L. Barron, 12 : 43-, 1994

      21 B. T. T. Yeo, 5241 : 745-, 2008

      22 H. Wang, 50 : 2887-, 2005

      23 C. Studholme, 32 : 71-, 1999

      24 "Oliver Kutter"

      25 "ImSimQA module"

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 SCI 등재 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2000-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.47 0.15 0.31
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.26 0.2 0.26 0.03
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