DocumentCode :
1336408
Title :
elastix: A Toolbox for Intensity-Based Medical Image Registration
Author :
Klein, Stefan ; Staring, Marius ; Murphy, Keelin ; Viergever, Max A. ; Pluim, Josien P W
Author_Institution :
Med. Center, Image Sci. Inst., Univ. of Utrecht, Utrecht, Netherlands
Volume :
29
Issue :
1
fYear :
2010
Firstpage :
196
Lastpage :
205
Abstract :
Medical image registration is an important task in medical image processing. It refers to the process of aligning data sets, possibly from different modalities (e.g., magnetic resonance and computed tomography), different time points (e.g., follow-up scans), and/or different subjects (in case of population studies). A large number of methods for image registration are described in the literature. Unfortunately, there is not one method that works for all applications. We have therefore developed elastix, a publicly available computer program for intensity-based medical image registration. The software consists of a collection of algorithms that are commonly used to solve medical image registration problems. The modular design of elastix allows the user to quickly configure, test, and compare different registration methods for a specific application. The command-line interface enables automated processing of large numbers of data sets, by means of scripting. The usage of elastix for comparing different registration methods is illustrated with three example experiments, in which individual components of the registration method are varied.
Keywords :
biomedical MRI; computerised tomography; image registration; medical computing; medical image processing; public domain software; automated data processing; command-line interface; computed tomography; elastix; intensity-based medical image registration; magnetic resonance imaging; scripting; Application software; Biomedical imaging; Cost function; Image processing; Image registration; Image segmentation; MONOS devices; Open source software; Optimization methods; Spatial resolution; elastix; image registration; medical imaging; open source; software; Diagnostic Imaging; Humans; Image Processing, Computer-Assisted; Models, Biological; Normal Distribution; Software;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2009.2035616
Filename :
5338015
Link To Document :
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