127 265

Cited 0 times in

조영 전후의 폐 CT 영상 정합을 위한 특징 기반의 비강체 정합 기법

Other Titles
 Feature-based Non-rigid Registration between Pre- and Post-Contrast Lung CT Images 
Authors
 이현준  ;  홍영택  ;  심학준  ;  권동진  ;  윤일동  ;  이상욱  ;  김남국  ;  서준범 
Citation
 Journal of Biomedical Engineering Research (의공학회지), Vol.32(3) : 237-244, 2011 
Journal Title
 Journal of Biomedical Engineering Research (의공학회지) 
ISSN
 1229-0807 
Issue Date
2011
Keywords
non-rigid registration ; lung CT ; free-form deformation(FFD) ; 3-D feature detection ; scale invariant feature transform(SIFT) ; energy minimization
Abstract
In this paper, a feature-based registration technique is proposed for pre-contrast and post-contrast lung CT images. It utilizes three dimensional(3-D) features with their descriptors and estimates feature correspondences by nearest neighborhood matching in the feature space. We design a transformation model between the input image pairs using a free form deformation(FFD) which is based on B-splines. Registration is achieved by minimizing an energy function incorporating the smoothness of FFD and the correspondence information through a non-linear gradient conjugate method. To deal with outliers in feature matching, our energy model integrates a robust estimator which discards outliers effectively by iteratively reducing a radius of confidence in the minimization process. Performance evaluation was carried out in terms of accuracy and efficiency using seven pairs of lung CT images of clinical practice. For a quantitative assessment, a radiologist specialized in thorax manually placed landmarks on each CT image pair. In comparative evaluation to a conventional feature-based registration method, our algorithm showed improved performances in both accuracy and efficiency
Files in This Item:
T201103119.pdf Download
Appears in Collections:
5. Research Institutes (연구소) > Yonsei Cardiovascular Research Institute (심혈관연구소) > 1. Journal Papers
Yonsei Authors
Shim, Hack Joon(심학준)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/93932
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links