Craniometric Points Measurement

Citation Author(s):
Ales
Prochazka
Department of Computing and Control Engineering, University of Chemistry and Technology at Prague
Tatjana
Dostalova
Department of Stomatology, Charles University at Prague
Oldrich
Vysata
Department of Neurology, Faculty of Medicine, Charles University at Hradec Králové
Pavel
Cejnar
Department of Computing and Control Engineering, University of Chemistry and Technology at Prague
Vladimir
Marik
Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University of Prague
Hana
Eliasova
Department of Stomatology, Charles University at Prague
Submitted by:
Ales Prochazka
Last updated:
Fri, 10/14/2022 - 14:31
DOI:
10.21227/n78r-xd27
Data Format:
*.xlsx, *.M (Matlab), *.txt
Research Article Link:
Computational Intelligence in Metric Analysis of the Skull in the Context of Maxillofacial Surgery
License:
Creative Commons Attribution
213 Views
Categories:
Digital signal processing
Machine Learning
Keywords:
craniometry, skull identification, maxillofacial surgery, Computational Intelligence
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Abstract 

Anthropometric studies focusing on facial metrics and their proportions form an important research area devoted to observations of the appearance of the human skull. Many different applications include the use of craniometry for maxillofacial reconstruction and surgery. The paper and the associated dataset explores the possibility of using selected craniometric points and associated metric to observe  spatial changes during the maxillofacial surgery treatment.  The experimental dataset includes observations of 27 individuals. The proposed method is associated with the processing of measurements by selected methods of signal processing and computational intelligence.

Instructions: 

Skull measurements in *.XLSX file before and after the operation for 27 individuals can be processed by the MATLAB m-file, presenting

>> in Fig. 1: areas of skull triangles  before and after the treatment for 27 individuals

>> in Fig. 2: areas of skull triangles  before and after the treatment for 27 individuals (males and females)

The evaluation is explained in paper "Computational Intelligence in Metric Analysis of the Skull in the Context of Maxillofacial Surgery" by A.Prochazka, T. Dostalova, O. Vysata, P. Cejnar, V. Marik, H. Eliasova in IEEE ACCESS 2022

Comments

The dataset was recorded in 2022 at the University Hospital in Motol, Prague

Submitted by Ales Prochazka on Sun, 07/24/2022 - 18:25

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