Morphological appearance manifolds in computational anatomy: Groupwise registration and morphological analysis

Christos Davatzikos, Naixiang Lian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an extension of the conventional computational anatomy framework to account for confounding variations due to selection of parameters and templates, by learning the equivalence class derived from the multitude of representations of an individual anatomy. A morphological appearance manifold obtained by varying parameters of the template warping procedure is estimated. Group-wise registration and statistical analysis is then based on a constrained optimization framework, which employs a minimum variance criterion to perform manifold walking, i.e. to traverse each individual's morphological appearance manifold until group variance is minimal. Effectively, this process removes the aforementioned confounding effects and potentially leads to morphological representations that reflect purely underlying biological variations, instead of variations introduced by modeling assumptions and parameter settings. The nonlinearity of a morphological appearance manifold is treated via local linear approximations of the manifold via PCA.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2009
Number of pages1
DOIs
StatePublished - Nov 17 2009
Event2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States
Duration: Jun 28 2009Jul 1 2009

Publication series

NameProceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Other

Other2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
CountryUnited States
CityBoston, MA
Period6/28/097/1/09

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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    Davatzikos, C., & Lian, N. (2009). Morphological appearance manifolds in computational anatomy: Groupwise registration and morphological analysis. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 [5193179] (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009). https://doi.org/10.1109/ISBI.2009.5193179