Stereo-assisted landmark detection for the analysis of changes in 3-D facial shape

Medical Informatics and the Internet in Medicine
A J Naftel, M J Trenouth

Abstract

In this paper, a semi-automated approach to 3-D landmark digitization of the face is described which uses a combination of active shape model-driven feature detection and stereophotogrammetric analysis. The study aims to assess whether the proposed method is capable of detecting statistically significant changes in facial soft tissue shape due to mandibular repositioning in a cross-sectional patient sample. A hybrid stereophotogrammetric and structured-light imaging system is used for acquiring 3-D face models in the first instance. A landmark-based statistical analysis of facial shape change is then carried out using procrustes registration, principal component analysis and thin plate spline warping on the 2-D facial midline profiles and automatically digitized 3-D landmarks. The proposed method is validated both statistically and visually by characterizing shape changes induced by mandibular repositioning in a heterogeneous cross-sample of 20 orthodontic patients. It is shown that the method is capable of distinguishing between changes in facial morphology due to simulated surgical correction and changes due to other factors such as growth and normal variation within the patient sample. The study shows that the proposed metho...Continue Reading

References

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Mar 26, 1999·Computer Methods and Programs in Biomedicine·T YamadaM Sakuda
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Citations

May 23, 2012·Journal of Biomedical Optics·Jakub MichońskiRobert Sitnik
Mar 16, 2011·Journal of Cosmetic and Laser Therapy : Official Publication of the European Society for Laser Dermatology·Philippa LoweRickie Patnaik
Mar 6, 2009·Cell Adhesion & Migration·Janko KosNatasa Obermajer
Mar 4, 2017·Journal of Medical Engineering & Technology·Luigi Maria GalantucciGianluca Percoco

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