Global Analysis of Three-Dimensional Shape Symmetry: Human Heads (Part I)
Corressponding author's email:
nhunt@hcmute.edu.vnDOI:
https://doi.org/10.54644/jte.68.2022.1076Keywords:
Facial paralysis grading, Global head symmetry, Head distance symmetry, Head volumetric symmetry, Facial palsy detectionAbstract
Facial paralysis grading methods are mostly based on geometrical dissymmetry between left and right heads. Dissymmetry also appears even on healthy subjects. Consequently, this dissymmetry should be computed to distinguish with one on facial palsy patients. However, no studies have been quantitatively reported this characteristic. In the first part of our study, we tried to calculate this quantity by computing distance and volumetric differences between left and right heads. In particular, 329 head models were reconstructed from medical images of subjects with normal head geometries in neutral mimics. These heads were then automatically cut into left and right regions. Then, Hausdorff distances between left heads and mirrored right heads were computed. Moreover, volumetric differences between left head convex hulls and mirrored right head convex hulls were also calculated. As a result, the dissymmetry values (Mean ± SD) in mean Hausdorff distances are 1.8243 ± 0.7029 mm, and ones in volumetric are 78.1254 ± 65.7040 cm3. In perspective, in the second part of our study, we will try to analyze geometrical symmetry on human skulls. Moreover, shape symmetry will be analyzed in more detail with different local shape topologies in different facial mimics. These analyses will finally be implemented on our clinical decision-support system for facial mimic rehabilitation.
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References
W.S.W. Samsudin and K. Sundaraj, Clinical and non-clinical initial assessment of facial nerve paralysis: A qualitative review, Biocybern. Biomed. Eng. 34 (2014) 71–78. https://doi.org/10.1016/j.bbe.2014.02.005.
M.W. Robinson and J. Baiungo, "Facial Rehabilitation: Evaluation and Treatment Strategies for the Patient with Facial Palsy," Otolaryngol. Clin. North Am., vol.51, pp.1151–1167, 2018. https://doi.org/10.1016/j.otc.2018.07.011.
A.Y. Fattah, A.D.R. Gurusinghe, J. Gavilan, T.A. Hadlock, J.R. Marcus, H. Marres, and et al, "Facial Nerve Grading Instruments," Plast. Reconstr. Surg., vol.135, pp.569–579, 2015, https://doi.org/10.1097/PRS.0000000000000905.
T.-N. Nguyen, S. Dakpe, M.-C. Ho Ba Tho, and T.-T. Dao, "Kinect-driven Patient-specific Head, Skull, and Muscle Network Modelling for Facial Palsy Patients," Comput. Methods Programs Biomed., vol.200, 105846, 2021, https://doi.org/10.1016/j.cmpb.2020.105846.
S. Wang, H. Li, F. Qi, and Y. Zhao, "Objective facial paralysis grading based onP face and eigenflow," Med. Biol. Eng. Comput., vol.42 pp. 598–603, 2004, https://doi.org/10.1007/BF02347540.
M. Frey, C.H. John Tzou, M. Michaelidou, I. Pona, A. Hold, E. Placheta, and et al, "3D Video Analysis of Facial Movements," Facial Plast. Surg. Clin. North Am., vol.19,pp. 639–646, 2011, https://doi.org/10.1016/j.fsc.2011.07.007.
M.D. Salgado, S. Curtiss, and T.T. Tollefson, "Evaluating symmetry and facial motion using 3D videography," Facial Plast. Surg. Clin. North Am., vol.18, pp. 351–356, 2010, https://doi.org/10.1016/j.fsc.2010.01.011.
T. Wu, A.P.L. Hung, P. Hunter, and K. Mithraratne, "Modelling facial expressions: A framework for simulating nonlinear soft tissue deformations using embedded 3D muscles," Finite Elem. Anal. Des., vol.76, pp. 63–70, 2013, https://doi.org/10.1016/j.finel.2013.08.002.
A.X. Fan, S. Dakpé, T.T. Dao, P. Pouletaut, M. Rachik, and M.C. Ho Ba Tho, "MRI-based finite element modeling of facial mimics: a case study on the paired zygomaticus major muscles," Comput. Methods Biomech. Biomed. Engin., vol.20, pp.919–928, 2017, https://doi.org/10.1080/10255842.2017.1305363.
T.T. Dao, A.X. Fan, S. Dakpé, P. Pouletaut, M. Rachik, and M.C. Ho Ba Tho, "Image-based skeletal muscle coordination: case study on a subject specific facial mimic simulation," J. Mech. Med. Biol., vol.18, pp.1–15, 2018, https://doi.org/10.1142/S0219519418500203.
T. Al-Anezi, B. Khambay, M.J. Peng, E. O’Leary, X. Ju, and A. Ayoub, "A new method for automatic tracking of facial landmarks in 3D motion captured images (4D)," Int. J. Oral Maxillofac. Surg., vol.42, pp.9–18, 2013. https://doi.org/10.1016/j.ijom.2012.10.035.
C.A. Trotman, J. Faraway, T. Hadlock, C. Banks, N. Jowett, and H.J. Jung, "Facial soft-tissue mobility: Baseline dynamics of patients with unilateral facial paralysis," Plast. Reconstr. Surg. - Glob. Open., vol.6, pp.1–12, 2018, https://doi.org/10.1097/GOX.0000000000001955.
K. Mishima and T. Sugahara, "Analysis methods for facial motion," Jpn. Dent. Sci. Rev., vol.45, pp. 4–13, 2009, https://doi.org/10.1016/j.jdsr.2009.03.003.
B. Hontanilla and C. Aubá, "Automatic three-dimensional quantitative analysis for evaluation of facial movement," J. Plast. Reconstr. Aesthetic Surg., vol.61, pp. 18–30, 2008, https://doi.org/10.1016/j.bjps.2007.03.037.
Z. Zhang, "Microsoft kinect sensor and its effect," IEEE Multimed., vol.19, pp.4–10, 2012, https://doi.org/10.1109/MMUL.2012.24.
R. C. Carro, E. B. Huerta, F. R. Cruz, R. M. Caporal, and C. P. Corona, "Facial Expression Analysis with Kinect for the Diagnosis of Paralysis Using Nottingham Grading System," IEEE Lat. Am. Trans., vol.14, pp.3418–3426, 2016, https://doi.org/10.1109/TLA.2016.7587650.
C. Jiang, J. Wu, W. Zhong, M. Wei, J. Tong, H. Yu, and L. Wang, "Automatic Facial Paralysis Assessment via Computational Image Analysis," J. Healthc. Eng., vol.2020, 2020, https://doi.org/10.1155/2020/2398542.
P.A. Desrosiers, Y. Bennis, M. Daoudi, B. Ben Amor, and P. Guerreschi, "Analyzing of facial paralysis by shape analysis of 3D face sequences," Image Vis. Comput., vol.67, pp. 67–88, 2017, https://doi.org/10.1016/j.imavis.2017.08.006.
C.-H.J. Tzou, N.M. Artner, I. Pona, A. Hold, E. Placheta, W.G. Kropatsch, and et al, "Comparison of three-dimensional surface-imaging systems," J. Plast. Reconstr. Aesthetic Surg., vol.67, pp. 489–497, 2014, https://doi.org/10.1016/j.bjps.2014.01.003.
D. Gibelli, D. De Angelis, P. Poppa, C. Sforza, and C. Cattaneo, "An Assessment of How Facial Mimicry Can Change Facial Morphology: Implications for Identification," J. Forensic Sci., vol.62, pp. 405–410, 2017, https://doi.org/10.1111/1556-4029.13295.
C. Tanikawa and K. Takada, "Test-retest reliability of smile tasks using three-dimensional facial topography," Angle Orthod., vol.88, pp. 319–328, 2018, https://doi.org/10.2319/062617-425.1.
C.-A. Trotman, C. Phillips, J.J. Faraway, and K. Ritter, "Association between Subjective and Objective Measures of Lip Form and Function: An Exploratory Analysis," Cleft Palate-Craniofacial J., vol.40, pp.241–248, 2003, https://doi.org/10.1597/1545-1569_2003_040_0241_absaom_2.0.co_2.
A. Al-Hiyali, A. Ayoub, X. Ju, M. Almuzian, and T. Al-Anezi, "The Impact of Orthognathic Surgery on Facial Expressions," J. Oral Maxillofac. Surg., vol.73, pp. 2380–2390, 2015, https://doi.org/10.1016/j.joms.2015.05.008.
H. Popat, E. Henley, S. Richmond, L. Benedikt, D. Marshall, and P.L. Rosin, "A comparison of the reproducibility of verbal and nonverbal facial gestures using three-dimensional motion analysis," Otolaryngol. - Head Neck Surg., vol.142, pp.867–872, 2010, https://doi.org/10.1016/j.otohns.2010.03.003.
K. Mishima, H. Umeda, A. Nakano, R. Shiraishi, S. Hori, and Y. Ueyama, "Three-dimensional intra-rater and inter-rater reliability during a posed smile using a video-based motion analyzing system," J. Cranio-Maxillofacial Surg., vol.42, pp.428–431, 2014, https://doi.org/10.1016/j.jcms.2013.05.035.
C.A. Trotman, J. Faraway, and T.A. Hadlock, "Facial mobility and recovery in patients with unilateral facial paralysis," Orthod. Craniofacial Res., vol.23, pp. 82–91, 2020, https://doi.org/10.1111/ocr.12346.
T.-N. Nguyen, S. Dakpé, M.-C. Ho Ba Tho, and T.-T. Dao, "Real-time computer vision system for tracking simultaneously subject-specific rigid head and non-rigid facial mimic movements using a contactless sensor and system of systems approach," Comput. Methods Programs Biomed., vol.191, 105410, 2020, https://doi.org/10.1016/j.cmpb.2020.105410.
K. Clark, B. Vendt, K. Smith, J. Freymann, J. Kirby, P. Koppel, and et al, "The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.," J. Digit. Imaging., vol.26, pp.1045–1057, 2013, https://doi.org/10.1007/s10278-013-9622-7.
S. Pieper, M. Halle, and R. Kikinis, "3D Slicer", 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2005, pp.632–635. https://doi.org/10.1109/isbi.2004.1398617.
P. Cignoni, M. Callieri, M. Corsini, M. Dellepiane, F. Ganovelli, and G. Ranzuglia, "Meshlab: an open-source mesh processing tool.," in: Eurographics Ital. Chapter Conf., 2008, pp. 129–136. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.4449.
T.-N. Nguyen, V.-D. Tran, H.-Q. Nguyen, and T.-T. Dao, "A statistical shape modeling approach for predicting subject-specific human skull from head surface," Med. Biol. Eng. Comput. In Press, vol.58, pp.2355-2373, 2020. https://doi.org/10.1007/s11517-020-02219-4.
A. Fabri, G.-J. Giezeman, L. Kettner, S. Schirra, and S. Schnherr, "On the design of CGAL a computational geometry algorithms library," Softw. Pract. Exp., vol.30, pp. 1167–1202, 2000, https://doi.org/10.1002/1097-024X(200009)30:11<1167::AID-SPE337>3.0.CO;2-B.
N. Aspert, D. Santa-Cruz, and T. Ebrahimi, "MESH: measuring errors between surfaces using the Hausdorff distance," in: Proceedings. IEEE Int. Conf. Multimed. Expo, IEEE, 1978, pp. 705–708. https://doi.org/10.1109/ICME.2002.1035879.
S. Marden and J. Guivant, "Improving the performance of ICP for real-time applications using an approximate nearest neighbour search," Australas. Conf. Robot. Autom. ACRA., 2012, pp. 3–5.
A. Myronenko and X. Song, "Point set registration: Coherent point drifts," IEEE Trans. Pattern Anal. Mach. Intell., vol.32, pp. 2262–2275, 2010, https://doi.org/10.1109/TPAMI.2010.46.
A.S. Householder, "Unitary Triangularization of a Nonsymmetric Matrix," J. ACM., vol.5, pp.339–342, 1958, https://doi.org/10.1145/320941.320947.
S. Koch, "Home telehealth—Current state and future trends," Int. J. Med. Inform., vol.75, pp.565–576, 2006, https://doi.org/10.1016/j.ijmedinf.2005.09.002.
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