Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation

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Publication Type pre-print
School or College <blank>
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Creator Gerig, Guido
Other Author Wang, Bo.; Prastawa, Marcel; Awate, Suyash P.; Irimia, Andrei; Chambers, Micah C.; Vespa, Paul M.; Van Horn, John D.
Title Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation
Date 2012-01-01
Description Traumatic brain injury (TBI) due to falls, car accidents, and warfare affects millions of people annually. Determining personalized therapy and assessment of treatment efficacy can substantially benefit from longitudinal (4D) magnetic resonance imaging (MRI). In this paper, we propose a method for segmenting longitudinal brain MR images with TBI using personalized atlas construction. Longitudinal images with TBI typically present topological changes over time due to the effect of the impact force on tissue, skull, and blood vessels and the recovery process. We address this issue by defining a novel atlas construction scheme that explicitly models the effect of topological changes. Our method automatically estimates the probability of topological changes jointly with the personalized atlas. We demonstrate the effectiveness of this approach on MR images with TBI that also have been segmented by human raters, where our method that integrates 4D information yields improved validation measures compared to temporally independent segmentations.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 2012
First Page 1152
Last Page 1155
Language eng
Bibliographic Citation Wang, B., Prastawa, M. W., Awate, S. P., Irimia, A., Chambers, M. C., Vespa, P. M., Van Horn, J. D., & Gerig, G. (2012). Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation. Proceedings of IEEE ISBI 2012, 1152-5.
Rights Management (c) 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 988,090 bytes
Identifier uspace,19183
ARK ark:/87278/s6g480f3
Setname ir_uspace
Date Created 2015-01-24
Date Modified 2021-05-06
ID 712785
Reference URL https://collections.lib.utah.edu/ark:/87278/s6g480f3
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