Nonrigid Registration of Lung CT Images Based on Tissue Features
Joint Authors
Zhang, Rui
Yu, Shaode
Zhou, Wu
Xie, Yaoqin
Li, Yanjie
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-14
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Nonrigid image registration is a prerequisite for various medical image process and analysis applications.
Much effort has been devoted to thoracic image registration due to breathing motion.
Recently, scale-invariant feature transform (SIFT) has been used in medical image registration and obtained promising results.
However, SIFT is apt to detect blob features.
Blobs key points are generally detected in smooth areas which may contain few diagnostic points.
In general, diagnostic points used in medical image are often vessel crossing points, vascular endpoints, and tissue boundary points, which provide abundant information about vessels and can reflect the motion of lungs accurately.
These points generally have high gradients as opposed to blob key points and can be detected by Harris.
In this work, we proposed a hybrid feature detection method which can detect tissue features of lungs effectively based on Harris and SIFT.
In addition, a novel method which can remove mismatched landmarks is also proposed.
A series of thoracic CT images are tested by using the proposed algorithm, and the quantitative and qualitative evaluations show that our method is statistically significantly better than conventional SIFT method especially in the case of large deformation of lungs during respiration.
American Psychological Association (APA)
Zhang, Rui& Zhou, Wu& Li, Yanjie& Yu, Shaode& Xie, Yaoqin. 2013. Nonrigid Registration of Lung CT Images Based on Tissue Features. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-501819
Modern Language Association (MLA)
Zhang, Rui…[et al.]. Nonrigid Registration of Lung CT Images Based on Tissue Features. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-501819
American Medical Association (AMA)
Zhang, Rui& Zhou, Wu& Li, Yanjie& Yu, Shaode& Xie, Yaoqin. Nonrigid Registration of Lung CT Images Based on Tissue Features. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-501819
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501819