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Automatic Clinic Measures and Comparison of Heads Using Point Clouds

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 923)

Abstract

Nowadays the necessity to automate processes is increasing. One of the areas where automation can help is medicine. This document shows a process of how to analyze a point cloud of a head to define reference points and extract important measures. It also describes a head comparison process to compare a base head with a set of heads and find out the most similar one. The extracted measures will be applied for the diagnose and treatment of positional plagiocephaly disease that affects babies. A solution, integrating different technologies, has a graphical interface to present the measures retrieved from the point clouds of the heads and the results of heads comparison. The interface allows the visualization of the point clouds of the heads and helps to see the difference between heads. With the auxiliary of this solution it is possible to create a more adequate orthosis to treat each patient with positional plagiocephaly.

Keywords

  • Point clouds
  • Positional plagiocephaly
  • Automatic measures

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References

  1. GREOP: Cranial remolding orthoses. Plagiocephaly (2018). https://www.greop.com/cranial-remolding-helmets. Accessed 03 Sept 2018

  2. Slupchynskyj, O.: Regions of the nose. Rhinoplasty Surgeon New York. http://rhinoplastysurgeonnewyork.com/regions-of-the-nose/

  3. Rouse, M.: Point cloud. https://whatis.techtarget.com/definition/point-cloud

  4. Myronenko, A., Song, X.: Point-set registration: coherent point drift. IEEE Trans. Pattern Anal. Mach. Intell. 32(12), 2262–2275 (2010)

    CrossRef  Google Scholar 

  5. Bourke, P.: PLY - Polygon File Format. http://paulbourke.net/dataformats/ply/. Accessed 04 May 2018

  6. StackOverflow: Math - calculate volume of any tetrahedron given 4 points. Stack Overflow. https://stackoverflow.com/questions/9866452/calculate-volume-of-any-tetrahedron-given-4-points. Accessed 23 May 2018

  7. Tsakiri, M., Anagnostopoulos, V.: Change detection in terrestrial laser scanner data via point cloud correspondence. ResearchGate. https://www.researchgate.net/publication/282001967_Change_Detection_in_Terrestrial_Laser_Scanner_Data_Via_Point_Cloud_Correspondence. Accessed 10 July 2018

  8. Claude, J.: Morphometrics with R. Springer, New York (2008)

    MATH  Google Scholar 

  9. Kraft, D.: Computing the Hausdorff distance of two sets from their signed distance functions (2015)

    Google Scholar 

  10. Nutanong, S., Jacox, E.H., Samet, H.: An incremental Hausdorff distance calculation algorithm. Proc. VLDB Endow. 4(8), 506–517 (2011)

    CrossRef  Google Scholar 

  11. Kim, I., McLean, W.: Computing the Hausdorff distance between two sets of parametric curves. Commun. Korean Math. Soc. 28(4), 833–850 (2013)

    MathSciNet  CrossRef  Google Scholar 

  12. Plank, L.H., Giavedoni, B., Lombardo, J.R., Geil, M.D., Reisner, A.: Comparison of infant head shape changes in deformational plagiocephaly following treatment with a cranial remolding orthosis using a noninvasive laser shape digitizer. J. Craniofac. Surg. 17(6), 1084–1091 (2006)

    CrossRef  Google Scholar 

  13. R Core Team: R: a language and environment for statistical computing (2018)

    Google Scholar 

  14. Dryden, I.L.: Shapes - statistical shape analysis software in R. https://www.maths.nottingham.ac.uk/personal/ild/shapes/. Accessed 10 July 2018

  15. Borchers, H.W.: Pracma: practical numerical math functions (2018)

    Google Scholar 

  16. Rouse, M.: What is voxel? - Definition from WhatIs.com. WhatIs.com. https://whatis.techtarget.com/definition/voxel. Accessed 10 July 2018

  17. Kim, K., Cao, M., Rao, S., Xu, J., Medasani, S., Owechko, Y.: Multi-object detection and behavior recognition from motion 3D data. In: CVPR 2011 Workshops, pp. 37–42 (2011)

    Google Scholar 

  18. Laine, S.: A topological approach to voxelization. Comput. Graph. Forum 32(4), 1 (2003)

    Google Scholar 

  19. Han, Z., Liu, Z., Han, J., Vong, C.M., Bu, S., Chen, C.L.P.: Unsupervised learning of 3-D local features from raw voxels based on a novel permutation voxelization strategy. IEEE Trans. Cybern. 99, 1–14 (2017)

    Google Scholar 

  20. Lecigne, B., Delagrange, S., Messier, C.: VoxR: metrics extraction of trees from T-LiDAR data. R package. ResearchGate. https://cran.r-project.org/web/packages/VoxR/index.html. Accessed 10 July 2018

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Acknowledgement

This work was funded by projects NORTE-01-0145-FEDER-024300 (“SmartOrtho-sis”), supported by Northern Portugal Regional Operational Programme (Norte2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER), and has also been funded by FEDER funds, through Competitiveness Factors Operational Programme (COMPETE).

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Correspondence to Pedro Oliveira .

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Oliveira, P. et al. (2020). Automatic Clinic Measures and Comparison of Heads Using Point Clouds. In: Madureira, A., Abraham, A., Gandhi, N., Varela, M. (eds) Hybrid Intelligent Systems. HIS 2018. Advances in Intelligent Systems and Computing, vol 923. Springer, Cham. https://doi.org/10.1007/978-3-030-14347-3_55

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