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Brain, Body and MachineRigid Registration of 3D Ultrasound and MRI: Comparing Two Approaches on Nine Tumor Cases

Brain, Body and Machine: Rigid Registration of 3D Ultrasound and MRI: Comparing Two Approaches on... [We present a new technique for registering ultrasound and magnetic resonance (MR) images in the context of neurosurgery. It involves generating a pseudo-ultrasound (pseudo-US) from a segmented MR image and uses cross-correlation as the cost function to register with ultrasound. The algorithm’s performance is compared to a state-of-the-art technique that uses a median filtered MR images to register with a Gaussian-blurred ultrasound using normalized mutual information (NMI). The two methods are tested on nine tumor cases, including both high- and low-grade gliomas. The pseudo-US method yielded significantly better alignment average than that obtained by NMI (p = 0.0009).  If one case where NMI failed is excluded, the mean distance obtained by the pseudo-US approach (2.6 mm) is slightly lower than the one obtained by NMI (2.8mm), but not significantly so (p = 0.16).  We conclude that the pseudo-US method is more robust for these cases.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Brain, Body and MachineRigid Registration of 3D Ultrasound and MRI: Comparing Two Approaches on Nine Tumor Cases

Part of the Advances in Intelligent and Soft Computing Book Series (volume 83)
Editors: Angeles, Jorge; Boulet, Benoit; Clark, James J.; Kövecses, József; Siddiqi, Kaleem
Brain, Body and Machine — Jan 1, 2010

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References (28)

Publisher
Springer Berlin Heidelberg
Copyright
© Springer Berlin Heidelberg 2010
ISBN
978-3-642-16258-9
Pages
33 –43
DOI
10.1007/978-3-642-16259-6_3
Publisher site
See Chapter on Publisher Site

Abstract

[We present a new technique for registering ultrasound and magnetic resonance (MR) images in the context of neurosurgery. It involves generating a pseudo-ultrasound (pseudo-US) from a segmented MR image and uses cross-correlation as the cost function to register with ultrasound. The algorithm’s performance is compared to a state-of-the-art technique that uses a median filtered MR images to register with a Gaussian-blurred ultrasound using normalized mutual information (NMI). The two methods are tested on nine tumor cases, including both high- and low-grade gliomas. The pseudo-US method yielded significantly better alignment average than that obtained by NMI (p = 0.0009).  If one case where NMI failed is excluded, the mean distance obtained by the pseudo-US approach (2.6 mm) is slightly lower than the one obtained by NMI (2.8mm), but not significantly so (p = 0.16).  We conclude that the pseudo-US method is more robust for these cases.]

Published: Jan 1, 2010

Keywords: Normalize Mutual Information; Tumor Case; Registration Technique; Rigid Registration; Brain Shift

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