ArticleTheoretical biology & medical modelling2012
Dysmorphometrics: the modelling of morphological abnormalities.
Article in Theoretical biology & medical modelling, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Automated assessment of 3D facial asymmetry: a systematic review.European journal of orthodontics · 2026Pooled it
- Three-dimensional magnetic resonance imaging-based registration techniques and statistical shape analysis for knee osteoarthritis.Scientific reports · 2025Article
- Three-Dimensional Geometric Morphometric Characterization of Facial Sexual Dimorphism in Juveniles.Diagnostics (Basel, Switzerland) · 2025Article
- Large-scale open-source three-dimensional growth curves for clinical facial assessment and objective description of facial dysmorphism.Scientific reports · 2021Article
- Osteophyte volume calculation using dissimilarity-excluding Procrustes registration of archived bone models from healthy volunteers.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020Article
- Separating positional noise from neutral alignment in multicomponent statistical shape models.Bone reports · 2020Article
- Pitfalls and Promise of 3-dimensional Image Comparison for Craniofacial Surgical Assessment.Plastic and reconstructive surgery. Global open · 2020Article
- 3D assessment of mandibular skeletal effects produced by the Herbst appliance.BMC oral health · 2020Article
- Osteophyte growth in early thumb carpometacarpal osteoarthritis.Osteoarthritis and cartilage · 2019Observational
- Quantification of mandibular sexual dimorphism during adolescence.Journal of anatomy · 2019Article
- Statistical Shape Modeling of Skeletal Anatomy for Sex Discrimination: Their Training Size, Sexual Dimorphism, and Asymmetry.Frontiers in bioengineering and biotechnology · 2019Article
- Modelling 3D craniofacial growth trajectories for population comparison and classification illustrated using sex-differences.Scientific reports · 2018Article
- Spatially dense morphometrics of craniofacial sexual dimorphism in 1-year-olds.Journal of anatomy · 2016Article
- Monitoring of Therapy for Mucopolysaccharidosis Type I Using Dysmorphometric Facial Phenotypic Signatures.JIMD reports · 2015Article
- A Dysmorphometric Analysis to Investigate Facial Phenotypic Signatures as a Foundation for Non-invasive Monitoring of Lysosomal Storage Disorders.JIMD reports · 2013Article
- Sexual dimorphism in multiple aspects of 3D facial symmetry and asymmetry defined by spatially dense geometric morphometrics.Journal of anatomy · 2012Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe study of typical morphological variations using quantitative, morphometric descriptors has always interested biologists in general. However, unusual examples of form, such as abnormalities are often encountered in biomedical sciences. Despite the long history of morphometrics, the means to identify and quantify such unusual form differences remains limited.
methodsA theoretical concept, called dysmorphometrics, is introduced augmenting current geometric morphometrics with a focus on identifying and modelling form abnormalities. Dysmorphometrics applies the paradigm of detecting form differences as outliers compared to an appropriate norm. To achieve this, the likelihood formulation of landmark superimpositions is extended with outlier processes explicitly introducing a latent variable coding for abnormalities. A tractable solution to this augmented superimposition problem is obtained using Expectation-Maximization. The topography of detected abnormalities is encoded in a dysmorphogram.
resultsWe demonstrate the use of dysmorphometrics to measure abrupt changes in time, asymmetry and discordancy in a set of human faces presenting with facial abnormalities.
conclusionThe results clearly illustrate the unique power to reveal unusual form differences given only normative data with clear applications in both biomedical practice & research.
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