Literature DB >> 19923044

elastix: a toolbox for intensity-based medical image registration.

Stefan Klein1, Marius Staring, Keelin Murphy, Max A Viergever, Josien P W Pluim.   

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.

Mesh:

Year:  2009        PMID: 19923044     DOI: 10.1109/TMI.2009.2035616

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  900 in total

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7.  Semi-automatic segmentation for 3D motion analysis of the tongue with dynamic MRI.

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8.  Next Generation Histology-Directed Imaging Mass Spectrometry Driven by Autofluorescence Microscopy.

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9.  Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline.

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10.  Segmentation of tongue muscles from super-resolution magnetic resonance images.

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