17 99

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 ; 서준범 ; 김남국 ; 이상욱 ; 윤일동 ; 권동진 ; 심학준 
Citation
 Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지), Vol.32(3) : 237~244, 2011 
Journal Title
 Journal of Biomedical Engineering Research  (대한의용생체공학회:의공학회지) 
ISSN
 1229-0807 
Issue Date
2011
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
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/93932
Appears in Collections:
1. 연구논문 > 5. Research Institutes > Yonsei Cardiovascular Research Institute
Yonsei Authors
사서에게 알리기
  feedback
Files in This Item:
T201103119.pdfDownload
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

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

Browse