Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3758245/
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Links to Media http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3758245/
Publication Type journal article
Creator Gerig, Guido
Other Author Durrleman, Stanley; Pennec, Xavier; Trouvé, Alain; Ayache, Nicholas
Title Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets
Date 2009-01-01
Description We propose a new methodology to analyze the anatomical variability of a set of longitudinal data (population scanned at several ages). This method accounts not only for the usual 3D anatomical variability (geometry of structures), but also for possible changes in the dynamics of evolution of the structures. It does not require that subjects are scanned the same number of times or at the same ages. First a regression model infers a continuous evolution of shapes from a set of observations of the same subject. Second, spatiotemporal registrations deform jointly (1) the geometry of the evolving structure via 3D deformations and (2) the dynamics of evolution via time change functions. Third, we infer from a population a prototype scenario of evolution and its 4D variability. Our method is used to analyze the morphological evolution of 2D profiles of hominids skulls and to analyze brain growth from amygdala of autistics, developmental delay and control children.
Type InteractiveResource
Publisher Springer
Journal Title Lecture Notes in Computer Science LNCS
Volume 5761
First Page 297
Last Page 304
DOI doi.org/10.1007/978-3-642-04268-3_37
Language eng
Bibliographic Citation Durrleman, S., Pennec, X., Trouvé, A., Gerig, G., & Ayache, N. (2009). Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets. Lecture Notes in Computer Science LNCS, 5761, 297-304.
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/10.1007/978-3-642-04268-3_37.
Format Medium application/html
Identifier uspace, 19216
ARK ark:/87278/s60p4841
Setname ir_uspace
ID 712866
Reference URL https://collections.lib.utah.edu/ark:/87278/s60p4841
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