亨廷顿舞蹈症诊断和进展评估中的最新图像处理方法调查

Aleksandra Kawala-Sterniuk, Dariusz Mikołajewski, Anna Bryniarska, Maria Myslicka, Damian Czarnecki, Anna Junkiert-Czarnecka, Adam Sudol, Emilia Mikołajewska, Mateusz Pawlowski, Anna Wlodarczyk, Piotr Walecki, Rafal Gasz, Witold Libionka, Bartosz Pańczyszak, Mariusz Pelc, J. Zygarlicki, Henryk Racheniuk, Katarzyna Bojkowska-Otrebska, Piotr Sterniuk, E. Gorzelanczyk, Raffaele Ferri
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摘要

亨廷顿氏病(Huntington's disease,HD)是一种罕见的、无法治愈的神经退行性疾病,针对患者病情的快速无创诊断起着至关重要的作用。在现代医学中,计算机、医学和生物医学工程等多个科学领域正在相互结合。本次调查的重点是最新的图像处理方法,这些方法不仅可用于诊断 HD,还可用于评估其进展的严重程度,从而为延长患者生命和提高其生活质量做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey on the Most Current Image Processing Methods in Huntington's Disease Diagnostics and Progression Assessment
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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