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A New Method of Automatic Craniometric Landmarks Definition and Soft Tissue Thickness Measurement Based on MRI Data

  • Conference paper
Information Technologies in Biomedicine, Volume 3

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 283))

Abstract

An automatic method for definition of the craniometric landmarks and soft tissues thickness measurement in these landmarks is proposed. The method uses MRI data and is based on the non-rigid registration of the target image to the template. Three MRI templates for three Body Mass Index ranges were created. Each template has 20 pairs of landmarks on the skull and on the face surface. To validate the proposed method the soft tissue thickness was measured using data from the IXI database. These were 18 MRI images obtained in Caucasian adult females, having the BMI in the range 20-25 [kg/m2]. For each landmark the mean value, the standard deviation, the minimum and the maximum values of thickness were estimated. The obtained values are close to those obtained using the ultrasonic method. The method doesn’t introduce errors resulting from contact with the subject nor from operator skills.

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Author information

Authors and Affiliations

  1. Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Department of Biomedical Engineering, Warsaw University of Technology, Św. Andrzeja Boboli 8, 02-525, Warsaw, Poland

    Iryna Gorbenko, Krzysztof Mikołajczyk, Tomasz Kubik & Krzysztof Kałużyński

  2. Faculty of Electronics and Information Technology, Institute of Electronic Systems, Department of Microsystems and Measurement Systems, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Iaroslav Iarovyi

Authors
  1. Iryna Gorbenko
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  2. Krzysztof Mikołajczyk
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  3. Iaroslav Iarovyi
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  4. Tomasz Kubik
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  5. Krzysztof Kałużyński
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Corresponding author

Correspondence to Iryna Gorbenko .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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© 2014 Springer International Publishing Switzerland

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Gorbenko, I., Mikołajczyk, K., Iarovyi, I., Kubik, T., Kałużyński, K. (2014). A New Method of Automatic Craniometric Landmarks Definition and Soft Tissue Thickness Measurement Based on MRI Data. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 3. Advances in Intelligent Systems and Computing, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-319-06593-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-06593-9_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06592-2

  • Online ISBN: 978-3-319-06593-9

  • eBook Packages: EngineeringEngineering (R0)

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