A framework for 3D analysis of facial morphology in fetal alcohol syndrome

Jing Wan, Li Shen, Shiaofen Fang, Jason McLaughlin, Ilona Autti-Rämö, Åse Fagerlund, Edward Riley, H. Eugene Hoyme, Elizabeth S. Moore, Tatiana Foroud

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

5 Scopus citations

Abstract

Surface-based morphometry (SBM) is widely used in biomedical imaging and other domains to localize shape changes related to different conditions. This paper presents a computational framework that integrates a set of effective surface registration and analysis methods to form a unified SBM processing pipeline. Surface registration includes two parts: surface alignment in the object space by employing the iterative closest point (ICP) method, and surface alignment in the parameter space by using conformal mapping and landmark-based thin-plate spline methods. Statistical group analysis of registered surface data is then conducted by surface-based general linear model and random field theory addressing multiple testing issues. The effectiveness of the proposed framework is demonstrated by applying it to a fetal alcohol syndrome (FAS) study for identifying facial dysmorphology in FAS patients.

Original languageEnglish (US)
Title of host publicationMedical Imaging and Augmented Reality - 5th International Workshop, MIAR 2010, Proceedings
Pages118-127
Number of pages10
DOIs
StatePublished - Nov 9 2010
Event5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010 - Beijing, China
Duration: Sep 19 2010Sep 20 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6326 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010
CountryChina
CityBeijing
Period9/19/109/20/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Wan, J., Shen, L., Fang, S., McLaughlin, J., Autti-Rämö, I., Fagerlund, Å., Riley, E., Hoyme, H. E., Moore, E. S., & Foroud, T. (2010). A framework for 3D analysis of facial morphology in fetal alcohol syndrome. In Medical Imaging and Augmented Reality - 5th International Workshop, MIAR 2010, Proceedings (pp. 118-127). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6326 LNCS). https://doi.org/10.1007/978-3-642-15699-1_13