Automated features analysis of patients with spinal diseases using medical thermal images

Valentina Vassilenko; Anna Poplavska; Sergiy Pavlov; Petro Kolisnyk; Oleksandr Poplavskyi; Sergiy Kolisnyk; Yuliia Vitrova; Waldemar Wójcik

doi:10.1117/12.2569780

12 June 2020 Automated features analysis of patients with spinal diseases using medical thermal images

Valentina Vassilenko, Anna Poplavska, Sergiy Pavlov, Petro Kolisnyk, Oleksandr Poplavskyi, Sergiy Kolisnyk, Yuliia Vitrova, Waldemar Wójcik

Author Affiliations +

Proceedings Volume 11456, Optical Fibers and Their Applications 2020; 114560L (2020) https://doi.org/10.1117/12.2569780
Event: Optical Fibers and Their Applications 2020, 2020, Bialowieza, Poland

Abstract

Nowadays, the medical infrared thermal imaging (MITI) techniques can provide good quality images in real-time for monitoring and pre-clinical diagnostic of the diseases caused by inflammatory processes by showing the thermal abnormalities present in the body. MITI allows specify of the functional changes in the normal temperature distribution on the surface of the body, as well as enables refinement the localization of functional changes, the activity of the process, its prevalence and the nature of the changes – inflammation, stagnation, malignancy, etc. Due to its non-contact, non-invasive and non-destructive way of using, this technology has a distinct advantage among other diagnostic methods. Therefore, the main objectives of this research work were automated steps of feature extraction and analysis MTIs, i.e. to develop novel algorithm for quantitative interpretation of thermal images database, to improve the experimental protocol of obtaining thermal images and to perform an extensive field measurement in the selected cohort of patients, in our case, with spinal diseases, in order to provide an immediate high-quality solutions in real time clinical validation of the proposed method.

Citation Download Citation

Valentina Vassilenko, Anna Poplavska, Sergiy Pavlov, Petro Kolisnyk, Oleksandr Poplavskyi, Sergiy Kolisnyk, Yuliia Vitrova, and Waldemar Wójcik "Automated features analysis of patients with spinal diseases using medical thermal images", Proc. SPIE 11456, Optical Fibers and Their Applications 2020, 114560L (12 June 2020); https://doi.org/10.1117/12.2569780

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available