Literature DB >> 22255499

A landmark-free framework for the detection and description of shape differences in embryos.

S M Rolfe1, L G Shapiro, T C Cox, A M Maga, L L Cox.   

Abstract

This paper introduces a new method to quantify and characterize shape changes during early facial development without the use of landmarks. Landmarks are traditionally used in morphometric analysis, but very few can be identified reliably across all stages of embryonic development. This method uses deformable registration to produce a dense vector field describing the point correspondences between two images. Low and mid-level features are extracted from the deformable vector field to find regions of organized differences that are biologically relevant. These methods are shown to detect regions of difference when evaluated on chick embryo images warped with small magnitude deformations in regions critical to midfacial development.

Entities:  

Mesh:

Year:  2011        PMID: 22255499      PMCID: PMC3261520          DOI: 10.1109/IEMBS.2011.6091276

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Developmental regulation of skull morphology II: ontogenetic dynamics of covariance.

Authors:  Miriam Leah Zelditch; Jason Mezey; H David Sheets; Barbara L Lundrigan; Theodore Garland
Journal:  Evol Dev       Date:  2006 Jan-Feb       Impact factor: 1.930

2.  Identifying global anatomical differences: deformation-based morphometry.

Authors:  J Ashburner; C Hutton; R Frackowiak; I Johnsrude; C Price; K Friston
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

3.  Phenotypic variability and craniofacial dysmorphology: increased shape variance in a mouse model for cleft lip.

Authors:  Trish E Parsons; Erika Kristensen; Lynnette Hornung; Virginia M Diewert; Steven K Boyd; Rebecca Z German; Benedikt Hallgrímsson
Journal:  J Anat       Date:  2007-12-17       Impact factor: 2.610

4.  Developmental regulation of skull morphology. I. Ontogenetic dynamics of variance.

Authors:  Miriam Leah Zelditch; Barbara L Lundrigan; Theodore Garland
Journal:  Evol Dev       Date:  2004 May-Jun       Impact factor: 1.930

5.  Computational mouse atlases and their application to automatic assessment of craniofacial dysmorphology caused by the Crouzon mutation Fgfr2(C342Y).

Authors:  Hildur Olafsdóttir; Tron A Darvann; Nuno V Hermann; Estanislao Oubel; Bjarne K Ersbøll; Alejandro F Frangi; Per Larsen; Chad A Perlyn; Gillian M Morriss-Kay; Sven Kreiborg
Journal:  J Anat       Date:  2007-06-06       Impact factor: 2.610

  5 in total
  4 in total

1.  A new tool for quantifying and characterizing asymmetry in bilaterally paired structures.

Authors:  S M Rolfe; E D Camci; E Mercan; L G Shapiro; T C Cox
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

2.  Analysis of facial skeletal asymmetry during foetal development using μCT imaging.

Authors:  Motoki Katsube; Sara M Rolfe; Stephanie R Bortolussi; Yutaka Yamaguchi; Joy M Richman; Shigehito Yamada; Siddharth R Vora
Journal:  Orthod Craniofac Res       Date:  2019-05       Impact factor: 1.826

3.  Performance of single and multi-atlas based automated landmarking methods compared to expert annotations in volumetric microCT datasets of mouse mandibles.

Authors:  Ryan Young; A Murat Maga
Journal:  Front Zool       Date:  2015-12-01       Impact factor: 3.172

4.  Does 3D Phenotyping Yield Substantial Insights in the Genetics of the Mouse Mandible Shape?

Authors:  Nicolas Navarro; A Murat Maga
Journal:  G3 (Bethesda)       Date:  2016-05-03       Impact factor: 3.154

  4 in total

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