A joint framework for 4D segmentation and estimation of smooth temporal appearance changes

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Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Gao, Yang; Prastawa, Marcel; Styner, Martin; Piven, Joseph
Title A joint framework for 4D segmentation and estimation of smooth temporal appearance changes
Date 2014-01-01
Description Medical imaging studies increasingly use longitudinal images of individual subjects in order to follow-up changes due to development, degeneration, disease progression or efficacy of therapeutic intervention. Repeated image data of individuals are highly correlated, and the strong causality of information over time lead to the development of procedures for joint segmentation of the series of scans, called 4D segmentation. A main aim was improved consistency of quantitative analysis, most often solved via patient-specific atlases. Challenging open problems are contrast changes and occurance of subclasses within tissue as observed in multimodal MRI of infant development, neurodegeneration and disease. This paper pro- poses a new 4D segmentation framework that enforces continuous dynamic changes of tissue contrast patterns over time as observed in such data. Moreover, our model includes the capability to segment different contrast patterns within a specific tissue class, for example as seen in myelinated and un-myelinated white matter regions in early brain development. Proof of concept is shown with validation on synthetic image data and with 4D segmentation of longitudinal, multimodal pediatric MRI taken at 6, 12 and 24 months of age, but the methodology is generic w.r.t. different application domains using serial imaging.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 1291
Last Page 1294
Language eng
Bibliographic Citation Gao, Y., Prastawa, M., Styner, M., Piven, J., & Gerig, G. (2014). A joint framework for 4D segmentation and estimation of smooth temporal appearance changes.IEEE International Symposium on Biomedical Imaging (ISBI), 1291- 4.
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Format Medium application/pdf
Format Extent 1,652,700 bytes
Identifier uspace,18962
ARK ark:/87278/s6q55zr3
Setname ir_uspace
Date Created 2014-10-17
Date Modified 2021-05-06
ID 712698
Reference URL https://collections.lib.utah.edu/ark:/87278/s6q55zr3
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