Literature DB >> 17946220

Statistical shape analysis of metopic craniosynostosis: a preliminary study.

Charlie Srivilasa1, Linping Zhao, Pravin K Patel, Tadanori Tomita, Shu Q Liu.   

Abstract

This preliminary study was conducted to explore different analytical shape methods for use in evaluating children born with cranial vault deformities. Twenty skull outlines from patients with metopic craniosynostosis were ascribed landmarks. Scale, location, and rotational factors were removed using Procrustes analysis. A single index of severity from 0-5, with 5 being the most severe, was developed using Procrustes distance in shape space. Skull 20 had the highest score in our data set. Principal component analysis was performed to determine areas of large shape variability. Principal component 1 and 2 accounted for 86 % of the shape variability which was attributed to early closure of the metopic suture. Procrustes analysis used in combination with Procrustes distance and principal component analysis are powerful tools for the evaluation of cranial vault deformities and can be used to objectively categorize the severity of the skull deformity and outcome from surgical reconstructive surgery.

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Year:  2006        PMID: 17946220     DOI: 10.1109/IEMBS.2006.260032

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


  1 in total

1.  Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty.

Authors:  Naiara Rodriguez-Florez; Jan L Bruse; Alessandro Borghi; Herman Vercruysse; Juling Ong; Greg James; Xavier Pennec; David J Dunaway; N U Owase Jeelani; Silvia Schievano
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-05-26       Impact factor: 2.924

  1 in total

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