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Article

Texture Analysis for the Bone Age Assessment from MRI Images of Adolescent Wrists in Boys

by
Rafal Obuchowicz
1,
Karolina Nurzynska
2,*,
Monika Pierzchala
3,
Adam Piorkowski
4 and
Michal Strzelecki
5
1
Department of Diagnostic Imaging, Jagiellonian University Medical College, 31-008 Krakow, Poland
2
Department of Algorithmics and Software, Silesian University of Technology, 44-100 Gliwice, Poland
3
Selvita S.A., 30-348 Krakow, Poland
4
Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, Poland
5
Institute of Electronics, Lodz University of Technology, 93-590 Lodz, Poland
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(8), 2762; https://doi.org/10.3390/jcm12082762
Submission received: 12 March 2023 / Revised: 3 April 2023 / Accepted: 3 April 2023 / Published: 7 April 2023

Abstract

Currently, bone age is assessed by X-rays. It enables the evaluation of the child’s development and is an important diagnostic factor. However, it is not sufficient to diagnose a specific disease because the diagnoses and prognoses may arise depending on how much the given case differs from the norms of bone age. Background: The use of magnetic resonance images (MRI) to assess the age of the patient would extend diagnostic possibilities. The bone age test could then become a routine screening test. Changing the method of determining the bone age would also prevent the patient from taking a dose of ionizing radiation, making the test less invasive. Methods: The regions of interest containing the wrist area and the epiphyses of the radius are marked on the magnetic resonance imaging of the non-dominant hand of boys aged 9 to 17 years. Textural features are computed for these regions, as it is assumed that the texture of the wrist image contains information about bone age. Results: The regression analysis revealed that there is a high correlation between the bone age of a patient and the MRI-derived textural features derived from MRI. For DICOM T1-weighted data, the best scores reached 0.94 R2, 0.46 RMSE, 0.21 MSE, and 0.33 MAE. Conclusions: The experiments performed have shown that using the MRI images gives reliable results in the assessment of bone age while not exposing the patient to ionizing radiation.
Keywords: bone age; image texture; bone MRI; pediatric radiology; regression analysis bone age; image texture; bone MRI; pediatric radiology; regression analysis

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MDPI and ACS Style

Obuchowicz, R.; Nurzynska, K.; Pierzchala, M.; Piorkowski, A.; Strzelecki, M. Texture Analysis for the Bone Age Assessment from MRI Images of Adolescent Wrists in Boys. J. Clin. Med. 2023, 12, 2762. https://doi.org/10.3390/jcm12082762

AMA Style

Obuchowicz R, Nurzynska K, Pierzchala M, Piorkowski A, Strzelecki M. Texture Analysis for the Bone Age Assessment from MRI Images of Adolescent Wrists in Boys. Journal of Clinical Medicine. 2023; 12(8):2762. https://doi.org/10.3390/jcm12082762

Chicago/Turabian Style

Obuchowicz, Rafal, Karolina Nurzynska, Monika Pierzchala, Adam Piorkowski, and Michal Strzelecki. 2023. "Texture Analysis for the Bone Age Assessment from MRI Images of Adolescent Wrists in Boys" Journal of Clinical Medicine 12, no. 8: 2762. https://doi.org/10.3390/jcm12082762

APA Style

Obuchowicz, R., Nurzynska, K., Pierzchala, M., Piorkowski, A., & Strzelecki, M. (2023). Texture Analysis for the Bone Age Assessment from MRI Images of Adolescent Wrists in Boys. Journal of Clinical Medicine, 12(8), 2762. https://doi.org/10.3390/jcm12082762

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