Pemanfaatan citra kamera inframerah thermal (kit) untuk mendeteksi area inflamasi pada tubuh manusia

https://doi.org/10.22146/teknosains.39672

Mardon Limena(1), Giner Maslebu(2), Ferdy Semuel Rondonuwu(3*)

(1) Fakultas Sains dan Matematika, Universitas Kristen Satya Wacana
(2) Fakultas Sains dan Matematika, Universitas Kristen Satya Wacana
(3) Fakultas Sains dan Matematika, Universitas Kristen Satya Wacana
(*) Corresponding Author

Abstract


Inflammation is an indication of an abnormality in the human body. Cases of inflammation occur accompanied by changes in temperature on the surface of the body. The location and location of the spread of inflammation cannot be seen solely by the human eye in detail. An imaging modality tool that is suitable for use in observing this problem is needed. In this study, the Thermal Infrared Camera (TIC) is used as an imaging modality. Samples in the form of a pair of legs in which one part of inflammation occurs are used as research objects. TIC is an imaging modality tool that can detect temperatures on the surface of an object quickly and is nondestructive. The results of the TIC image are processed using the global thresholding image processing method to distinguish between the inflammatory areas and normal areas more specifically. The results displayed indicate that there are differences in the image between the area of inflammation with the normal area of the patient's feet. The results of image processing data in the form of binary images show between the inflammatory area represented by white and vice versa the normal area represented by black. A comparison between the two conditions of the patient's feet before and after recovery shows the shrinkage of the area. There are two main results obtained in the exploration of this research, which is successful in distinguishing the inflammatory area from the normal area and the progress of recovery from the legs of the affected patient.


Keywords


Global Thresholding; Image Processing; Inflamation; TIC

Full Text:

PDF


References

Anonym. (2016). User’s manual: FLIR Exx series. Retrieved from FLIR Manuals website: http://www.omega.com/manuals/manualpdf/M5162.pdf

Anonym. (2018). What is infrared. Retrieved August 10, 2018, from https://www.flir.com/discover/what-is-infrared/

Brody, W. (2000). Handbook of Medical Imaging Processing and Analysis (I. Bankman, Ed.). London: Academic Press.

Bushberg, J. T. (2012). The Essential Physics of Medical Imaging (Third). Philadelphia, PA: Lippincott Williams and Wilkins.

Cardone, D., & Merla, A. (2017). New frontiers for applications of thermal infrared imaging devices: Computational psychopshysiology in the neurosciences. Sensors (Switzerland), 17(5). https://doi.org/10.3390/s17051042

Fluke. (2010). Thermography Terms Explained: FOV, IFOV, IFOV measurement. Retrieved July 18, 2018, from http://thermal-imaging-blog.com/index.php/2010/03/10/thermography-terms-explained-fov-ifov-ifovmeasurement-on-your-infrared-camera/#.W0ylHjF9jIX

Gurjarpadhye, A. A., Parekh, M. B., Dubnika, A., Rajadas, J., & Inayathullah, M. (2015). Infrared Imaging Tools for Diagnostic Applications in Dermatology. SM Journal of Clinical and Medical Imaging, 1(1), 1–5. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/26691203%0Ahttp://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC4683617

Lasanen, R. (2015). Infrared thermography in the evaluation of skin temperature: Applications in musculoskeletal conditions. Retrieved from http://epublications.uef.fi/pub/urn_isbn_978-952-61-1880-2/urn_isbn_978-952-61-1880-2.pdf

Maslebu, G., Adi, K., & Suryono. (2016). Using computer aided system to determine the maximum depth of visualization of B-Mode diagnostic ultrasound image. Journal of Physics: Conference Series, 694(1). https://doi.org/10.1088/1742-6596/694/1/012052

Nahm, F. (2013). Infrared Thermography in Medicine. 59(3), 123–130.

Ranosz-Janicka, I., Lis-Święty, A., Skrzypek-Salamon, A., & Brzezińska-Wcisło, L. ammation in localized scleroderma with thermal imaging. Skin Research and Technology, 25(2), 118–123. https://doi.org/10.1111/srt.12619



DOI: https://doi.org/10.22146/teknosains.39672

Article Metrics

Abstract views : 2850 | views : 3530

Refbacks





Copyright (c) 2021 Mardon Limena, Giner Maslebu, Ferdy Samuel Rondonuwu

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.




Copyright © 2024 Jurnal Teknosains     Submit an Article        Tracking Your Submission


Editorial Policies       Publishing System       Copyright Notice       Site Map       Journal History      Visitor Statistics     Abstracting & Indexing