Survey on the Most Current Image Processing Methods in Huntington's Disease Diagnostics and Progression Assessment

Authors

  • Aleksandra Kawala-Sterniuk Opole University of Technology
  • Dariusz Mikolajewski Kazimierze Wielki University in Bydgoszcz
  • Anna Bryniarska Opole University of Technology
  • Maria Myslicka 4th Military Hospital in Wrocław, Wrocław
  • Damian Czarnecki Faculty of Health Sciences, Department of Preventive Nursing, Nicolaus Copernicus University in Torun-Collegium Medicum in Bydgoszcz
  • Anna Junkiert-Czarnecka Department of Clinical Genetics, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun
  • Adam Sudol University of Opole
  • Emilia Mikolajewska Department of Physiotherapy, Nicolaus Copernicus University Collegium Medicum in Bydgoszcz
  • Mateusz Pawlowski Vital Medic Hospital
  • Anna Wlodarczyk Vital Medic Hospital
  • Piotr Walecki Department of Bioinformatics and Telemedicine, Jagiellonian University in Krakow-Collegium Medicum
  • Rafal Gasz Opole University of Technology
  • Witold Libionka Vital Medic Hospital
  • Bartosz Panczyszak Vital Medic Hospital
  • Mariusz Pelc University of Greenwich
  • Jaroslaw Zygarlicki Opole University of Technology
  • Henryk Racheniuk Opole University of Technology
  • Katarzyna Bojkowska-Otrebska Stobrawskie Centrum Medyczne w Kup
  • Piotr Sterniuk Opole University of Technology
  • Edward Gorzelanczyk Faculty of Philosophy, Kazimierz Wielki University, Bydgoszcz
  • Raffaele Ferri OASI Center

DOI:

https://doi.org/10.7494/csci.2023.24.4.5640

Abstract

Huntington's disease (HD) is a rare, incurable neurodegenerative disorder where fast and non-invasive diagnosis targeting patients' condition plays a crucial role. In modern medicine, various scientific areas are being combined, such as computing, medicine and biomedical engineering. This survey is focused on the most recent image processing methods applied not only for the purpose of diagnosing HD but also for the assessment of its progression severity, in order to contribute to the effort to prolong life of and to improve its quality.

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Published

2024-01-19

How to Cite

Kawala-Sterniuk, A., Mikolajewski, D., Bryniarska, A., Myslicka, M. ., Czarnecki, D., Junkiert-Czarnecka, A., Sudol, A., Mikolajewska, E., Pawlowski, M., Wlodarczyk, A., Walecki, P. ., Gasz, R., Libionka, W. ., Panczyszak, B., Pelc, M., Zygarlicki, J., Racheniuk, H., Bojkowska-Otrebska, K., Sterniuk, P., Gorzelanczyk, E., & Ferri, R. . (2024). Survey on the Most Current Image Processing Methods in Huntington’s Disease Diagnostics and Progression Assessment. Computer Science, 24(4). https://doi.org/10.7494/csci.2023.24.4.5640

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