Evaluation of brain MRI alignment with the Robust Hausdorff Distance Measures

http://link.springer.com/chapter/10.1007/978-3-540-89639-5_57
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Links to Media http://link.springer.com/chapter/10.1007%2F978-3-540-89639-5_57
Publication Type book chapter
Creator Gerig, Guido
Other Author Fedorov, Andriy; Billet, Eric; Prastawa, Marcel; Radmanesh, Alireza; Warfield, Simon K.; Kikinis, Ron; Chrisochoides, Nikos
Title Evaluation of brain MRI alignment with the Robust Hausdorff Distance Measures
Date 2008-01-01
Description We present a novel automated method for assessment of image alignment, applied to non-rigid registration of brain Magnetic Resonance Imaging data (MRI) for image-guided neurosurgery. We propose a number of robust modifications to the Hausdorff distance (HD) metric, and apply it to the edges recovered from the brain MRI to evaluate the accuracy of image alignment. The evaluation results on synthetic images, simulated tumor growth MRI and real neurosurgery data with expert-identified anatomical landmarks, confirm that the accuracy of alignment error estimation is improved compared to the conventional HD. The proposed approach can be used to increase confidence in the registration results, assist in registration parameter selection, and provide local estimates and visual assessment of the registration error.
Type InteractiveResource
Publisher Springer
Journal Title Lecture Notes in Computer Science
Volume 5358
First Page 594
Last Page 603
DOI 10.1007/978-3-540-89639-5_57
Subject Magnetic resonance imaging (MRI)
Language eng
Bibliographic Citation Fedorov, A., Billet, E., Prastawa, M. W., Gerig, G., Radmanesh, A., Warfield, S. K., Kikinis, R., & Chrisochoides, N. (2008). Evaluation of brain MRI alignment with the Robust Hausdorff Distance Measures. Lecture Notes in Computer Science, 5358, 594-603.
Rights Management (c) Springer (The original publication is available at www.springerlink.com) The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-89639-5_57
Format Medium application/html
Identifier uspace, 19230
ARK ark:/87278/s6s5023j
Setname ir_uspace
Date Created 2015-03-06
Date Modified 2015-03-06
ID 712860
Reference URL https://collections.lib.utah.edu/ark:/87278/s6s5023j
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