NDLI: Medical image registration: Comparison and evaluation of nonlinear transformation algorithms

Content Provider	IEEE Xplore Digital Library
Author	Bin Yahaya, K. Zawiah Md Dawal, S. Zadry, H.R.
Copyright Year	2010
Description	Author affiliation: Dept. of Eng. Design and Manufacture, Univ. of Malaya, Kuala Lumpur, Malaysia (Bin Yahaya, K.; Zawiah Md Dawal, S.; Zadry, H.R.)
Abstract	Image registration seeks to compare and combine images acquired from multiple modalities, at different time or at different viewpoints by feature based approach or optimizing the similarity measure of two image sets. In the landmark based registration, the transformation function is required to spatially match the features. Image guidance systems designed for neurosurgery, hip surgery, and spine surgery often relies on feature based registration. Accuracy is important to these systems. In this paper, the transformation functions like polynomial, piecewise linear (PL), local weighted mean (LWM) and thin plate spline (TPS) are evaluated. The comparison will be made in terms of the registration time, error rate, correlation index and degree of matching.
Starting Page	107
Ending Page	110
File Size	780113
Page Count	4
File Format	PDF
ISBN	9781424475995
e-ISBN	9781424476008
DOI	10.1109/IECBES.2010.5742209
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-30
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Polynomial Image registration Correlation Performance assessment Registration evaluation Local weighted mean Indexes Thin plate spline Accuracy Piecewise linear Medical image registration Feature extraction Polynomials Biomedical imaging
Content Type	Text
Resource Type	Article

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