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Spherical harmonics to quantify cranial asymmetry in deformational plagiocephaly

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Spherical harmonics to quantify cranial asymmetry in deformational plagiocephaly

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Grieb, J.; Barbero-García, I.; Lerma, JL. (2022). Spherical harmonics to quantify cranial asymmetry in deformational plagiocephaly. Scientific Reports. 12(1):1-10. https://doi.org/10.1038/s41598-021-04181-z

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Título: Spherical harmonics to quantify cranial asymmetry in deformational plagiocephaly
Autor: Grieb, Jonas Barbero-García, Inés Lerma, José Luis
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Fecha difusión:
Resumen:
[EN] Cranial deformation and deformational plagiocephaly (DP) in particular affect an important percentage of infants. The assessment and diagnosis of the deformation are commonly carried by manual measurements that provide ...[+]
Palabras clave: Medicine , Photogrammetry , 3D photography , Cranial asymmetry , Deformational plagiocephaly , Spherical harmonics
Derechos de uso: Reconocimiento (by)
Fuente:
Scientific Reports. (issn: 2045-2322 )
DOI: 10.1038/s41598-021-04181-z
Editorial:
Nature Publishing Group
Versión del editor: https://doi.org/10.1038/s41598-021-04181-z
Código del Proyecto:
info:eu-repo/grantAgreement/INSTITUTO DE SALUD CARLOS III//PI18%2F00881//ANALISIS Y MONITORIZACION NO INVASIVA Y DE BAJO COSTE DE LA DEFORMACION CRANEAL EN LACTANTES MEDIANTE FOTOGRAMETRIA 3D Y TELEFONOS INTELIGENTES/
Agradecimientos:
This article was funded by Instituto de Salud Carlos III and European Regional Development Fund (FEDER) (Grant no. PI18/00881).
Tipo: Artículo

References

Peitsch, W. K., Keefer, C. H., LaBrie, R. A. & Mulliken, J. B. Incidence of cranial asymmetry in healthy newborns. Pediatrics 110, e72–e72 (2004).

Bialocerkowski, A. E., Vladusic, S. L. & Wei Ng, C. Prevalence, risk factors, and natural history of positional plagiocephaly: a systematic review. Dev. Med. Child Neurol. 50, 577–586 (2008).

Mawji, A., Vollman, A. R., Hatfield, J., McNeil, D. A. & Sauvé, R. The incidence of positional plagiocephaly: A cohort study. Pediatrics 132, 298–304 (2013). [+]
Peitsch, W. K., Keefer, C. H., LaBrie, R. A. & Mulliken, J. B. Incidence of cranial asymmetry in healthy newborns. Pediatrics 110, e72–e72 (2004).

Bialocerkowski, A. E., Vladusic, S. L. & Wei Ng, C. Prevalence, risk factors, and natural history of positional plagiocephaly: a systematic review. Dev. Med. Child Neurol. 50, 577–586 (2008).

Mawji, A., Vollman, A. R., Hatfield, J., McNeil, D. A. & Sauvé, R. The incidence of positional plagiocephaly: A cohort study. Pediatrics 132, 298–304 (2013).

Ballardini, E. et al. Prevalence and characteristics of positional plagiocephaly in healthy full-term infants at 8–12 weeks of life. Eur. J. Pediatr. 177, 1547–1554 (2018).

Martiniuk, A. L. C., Vujovich-Dunn, C., Park, M., Yu, W. & Lucas, B. R. Plagiocephaly and developmental delay: A systematic review. J. Dev. Behav. Pediatr. 38, 67–78 (2017).

Collett, B. R. et al. Development at age 36 months in children with deformational plagiocephaly. Pediatrics 131, e109–e115 (2013).

Collett, B. R., Wallace, E. R., Kartin, D., Cunningham, M. L. & Speltz, M. L. Cognitive outcomes and positional plagiocephaly. Pediatrics 143, e20182373 (2019).

Aarnivala, H. et al. Accuracy of measurements used to quantify cranial asymmetry in deformational plagiocephaly. J. Cranio-Maxillofacial Surg. https://doi.org/10.1016/j.jcms.2017.05.014 (2017).

Schaaf, H. et al. Three-dimensional photographic analysis of outcome after helmet treatment of a nonsynostotic cranial deformity. J. Craniofac. Surg. 21, 1677–1682 (2010).

Wilbrand, J. F. et al. Value and reliability of anthropometric measurements of cranial deformity in early childhood. J. Cranio-Maxillofacial Surg. 39, 24–29 (2011).

Skolnick, G. B., Naidoo, S. D., Nguyen, D. C., Patel, K. B. & Woo, A. S. Comparison of direct and digital measures of cranial vault asymmetry for assessment of plagiocephaly. J. Craniofac. Surg. 26, 1900–1903 (2015).

Barbero-García, I., Lerma, J. L. & Mora-Navarro, G. Fully automatic smartphone-based photogrammetric 3D modelling of infant’s heads for cranial deformation analysis. ISPRS J. Photogramm. Remote Sens. 166, 268–277 (2020).

Robinson, S. & Proctor, M. Diagnosis and management of deformational plagiocephaly: A review. J. Neurosurg. Pediatr. 3, 284–295 (2009).

de Jong, G. et al. Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis. Sci. Rep. 10, 15346 (2020).

Meulstee, J. W. et al. A new method for three-dimensional evaluation of the cranial shape and the automatic identification of craniosynostosis using 3D stereophotogrammetry. Int. J. Oral Maxillofac. Surg. 46, 819–826 (2017).

Moghaddam, M. B. et al. Outcome analysis after helmet therapy using 3D photogrammetry in patients with deformational plagiocephaly: The role of root mean square. J. Plast. Reconstr. Aesthetic Surg. 67, 159–165 (2014).

Vuollo, V. et al. Analyzing infant head flatness and asymmetry using kernel density estimation of directional surface data from a craniofacial 3D model. Stat. Med. 35, 4891–4904 (2016).

Barbero-García, I., Lerma, J. L., Marqués-Mateu, Á. & Miranda, P. Low-cost smartphone-based photogrammetry for the analysis of cranial deformation in infants. World Neurosurg. 102, 545–554 (2017).

Michel, V. & Seibert, K. A Mathematical View on spin-weighted spherical harmonics and their applications in Geodesy. in 195–307 (Springer Spektrum, Berlin, Heidelberg, 2020). https://doi.org/10.1007/978-3-662-55854-6_102.

Foroughi, I. et al. Sub-centimetre geoid. J. Geod. 93, 849–868 (2019).

Balmino, G., Lambeck, K. & Kaula, W. M. A spherical harmonic analysis of the Earth’s topography. J. Geophys. Res. 78, 478–481 (1973).

Wouters, B. & Schrama, E. J. O. Improved accuracy of GRACE gravity solutions through empirical orthogonal function filtering of spherical harmonics. Geophys. Res. Lett. 34, 1 (2007).

Salaree, A. & Okal, E. A. Effects of bathymetry complexity on tsunami propagation: A spherical harmonics approach. Geophys. J. Int. 223, 632–647 (2020).

Shen, L., Farid, H. & McPeek, M. A. Modeling three-dimensional morphological structures using spherical harmonics. Evolution 63, 1003–1016 (2009).

Nortje, C. R., Ward, W. O. C., Neuman, B. P. & Bai, L. Spherical harmonics for surface parametrisation and remeshing. Math. Probl. Eng. 2015, (2015).

Naglah, A. et al. Novel mri-based cad system for early detection of thyroid cancer using multi-input CNN. Sensors 21, 3878 (2021).

Naglah, A., Khalifa, F., Khaled, R., Razek, A. A. K. A. & El-Baz, A. Thyroid cancer computer-aided diagnosis system using mri-based multi-input CNN model. Proc. Int. Symp. Biomed. Imaging 2021, 1691–1694 (2021).

Nazem-Zadeh, M. R., Davoodi-Bojd, E. & Soltanian-Zadeh, H. Level set fiber bundle segmentation using spherical harmonic coefficients. Comput. Med. Imaging Graph. 34, 192–202 (2010).

Yotter, R. A., Nenadic, I., Ziegler, G., Thompson, P. M. & Gaser, C. Local cortical surface complexity maps from spherical harmonic reconstructions. Neuroimage 56, 961–973 (2011).

Yotter, R. A., Thompson, P. M. & Gaser, C. Algorithms to improve the reparameterization of spherical mappings of brain surface meshes. J. Neuroimaging 21, 1 (2011).

Lerma García, J. L., Barbero Garcia, I., Miranda Lloret, P., Blanco Pons, S. & Carrión Ruiz, B. Sistema de obtención de datos útiles para el análisis de la morfometría corporal y método asociado. (2019).

Wieczorek, M. A. & Meschede, M. SHTools: tools for working with spherical harmonics. Geochem. Geophys. Geosyst. 19, 2574–2592 (2018).

Barbero-García, I. & Lerma, J. L. Assessment of registration methods for cranial 3D modelling. Proceedings 19 (2019).

Mortenson, P. A. & Steinbok, P. Quantifying positional plagiocephaly: Reliability and validity of anthropometric measurements. J. Craniofac. Surg. 17, 413–419 (2006).

Glasgow, T. S., Siddiqi, F., Hoff, C. & Young, P. C. Deformational plagiocephaly: Development of an objective measure and determination of its prevalence in primary care. J. Craniofac. Surg. 1, 85–92. https://doi.org/10.1097/01.scs.0000244919.69264.bf (2007).

Mortenson, P., Steinbok, P. & Smith, D. Deformational plagiocephaly and orthotic treatment: Indications and limitations. Child’s Nerv. Syst. 28, 1407–1412 (2012).

Kalra, R. & Walker, M. L. Posterior plagiocephaly. Child’s Nerv. Syst. 28, 1389–1393 (2012).

Pindrik, J., Molenda, J., Uribe-Cardenas, R., Dorafshar, A. H. & Ahn, E. S. Normative ranges of anthropometric cranial indices and metopic suture closure during infancy. J. Neurosurg. Pediatr. 18, 667–673 (2016).

Bektas, S. Least square fitting of ellipsoid using orthogonal distances. Bol. Ciências Geodésicas 21, 329–339 (2015).

Bektas, S. Orthogonal distance from an ellipsoid. Bol. Ciências Geodésicas 20, 970–983 (2014).

Grieb, J. I. Detección de deformaciones craneales en lactantes basado en la modelización 3D con armónicos esféricos (2021).

Fabijańska, A. & Wegliński, T. The quantitative assessment of the pre- and postoperative craniosynostosis using the methods of image analysis. Comput. Med. Imaging Graph. 46, 153–168 (2015).

Shen, L. & Chung, M. K. Large-scale modeling of parametric surfaces using spherical harmonics. Proc. Third Int. Symp. 3D Data Process. Vis. Transm. 3DPVT 2006 294–301 (2006) https://doi.org/10.1109/3DPVT.2006.86.

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