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Composite Match Index with Application of Interior Deformation Field Measurement from Magnetic Resonance Volumetric Images of Human Tissues
Joint Authors
Zhang, Xubing
Zhang, Penglin
Chen, Jiangping
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Whereas a variety of different feature-point matching approaches have been reported in computer vision, few feature-point matching approaches employed in images from nonrigid, nonuniform human tissues have been reported.
The present work is concerned with interior deformation field measurement of complex human tissues from three-dimensional magnetic resonance (MR) volumetric images.
To improve the reliability of matching results, this paper proposes composite match index (CMI) as the foundation of multimethod fusion methods to increase the reliability of these various methods.
Thereinto, we discuss the definition, components, and weight determination of CMI.
To test the validity of the proposed approach, it is applied to actual MR volumetric images obtained from a volunteer’s calf.
The main result is consistent with the actual condition.
American Psychological Association (APA)
Zhang, Penglin& Zhang, Xubing& Chen, Jiangping. 2012. Composite Match Index with Application of Interior Deformation Field Measurement from Magnetic Resonance Volumetric Images of Human Tissues. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-448456
Modern Language Association (MLA)
Zhang, Penglin…[et al.]. Composite Match Index with Application of Interior Deformation Field Measurement from Magnetic Resonance Volumetric Images of Human Tissues. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-448456
American Medical Association (AMA)
Zhang, Penglin& Zhang, Xubing& Chen, Jiangping. Composite Match Index with Application of Interior Deformation Field Measurement from Magnetic Resonance Volumetric Images of Human Tissues. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-448456
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448456