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Rotational Characteristics of Target Registration Error for Contour-based Registration in Neuronavigation System: A Phantom Study

뉴로내비게이션 시스템 표면정합에 대한 병변 정합 오차의 회전적 특성 분석: 팬텀 연구

  • Park, Hyun-Joon (Department of Bio-Mechatronic Engineering, Sungkyunkwan University) ;
  • Mun, Joung Hwan (Department of Bio-Mechatronic Engineering, Sungkyunkwan University) ;
  • Yoo, Hakje (Department of Bio-Mechatronic Engineering, Sungkyunkwan University) ;
  • Shin, Ki-Young (Korea Electrotechnology Research Institute) ;
  • Sim, Taeyong (Department of Bio-Mechatronic Engineering, Sungkyunkwan University)
  • 박현준 (성균관대학교 바이오메카트로닉스학과) ;
  • 문정환 (성균관대학교 바이오메카트로닉스학과) ;
  • 유학제 (성균관대학교 바이오메카트로닉스학과) ;
  • 신기영 (한국전기연구원) ;
  • 심태용 (성균관대학교 바이오메카트로닉스학과)
  • Received : 2016.03.10
  • Accepted : 2016.04.28
  • Published : 2016.04.30

Abstract

In this study, we investigated the rotational characteristics which were comprised of directionality and linearity of target registration error (TRE) as a study in advance to enhance the accuracy of contour-based registration in neuronavigation. For the experiment, two rigid head phantoms that have different faces with specially designed target frame fixed inside of the phantoms were used. Three-dimensional coordinates of facial surface point cloud and target point of the phantoms were acquired using computed tomography (CT) and 3D scanner. Iterative closest point (ICP) method was used for registration of two different point cloud and the directionality and linearity of TRE in overall head were calculated by using 3D position of targets after registration. As a result, it was represented that TRE had consistent direction in overall head region and was increased in linear fashion as distance from facial surface, but did not show high linearity. These results indicated that it is possible for decrease TRE by controlling orientation of facial surface point cloud acquired from scanner, and the prediction of TRE from surface registration error can decrease the registration accuracy in lesion. In the further studies, we have to develop the contour-based registration method for improvement of accuracy by considering rotational characteristics of TRE.

Keywords

References

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