Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing

Nicolas Avdelidis, Vassilios Kappatos, George Georgoulas, Petros Karvelis, C.K. Deli, Panagiotis Theodorakeas, G. Giakas, A. Tsiokanos, M. Koui, A.Z. Jamurtas

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

Exercise induced muscle damage (EIMD), is usually experienced in i) humans who have been physically inactive for prolonged periods of time and then begin with sudden training trials and ii) athletes who train over their normal limits. EIMD is not so easy to be detected and quantified, by means of commonly measurement tools and methods. Thermography has been used successfully as a research detection tool in medicine for the last 6 decades but very limited work has been reported on EIMD area. The main purpose of this research is to assess and characterize EIMD, using thermography and image processing techniques. The first step towards that goal is to develop a reliable segmentation technique to isolate the region of interest (ROI). A semi-automatic image processing software was designed and regions of the left and right leg based on superpixels were segmented. The image is segmented into a number of regions and the user is able to intervene providing the regions which belong to each of the two legs. In order to validate the image processing software, an extensive experimental investigation was carried out, acquiring thermographic images of the rectus femoris muscle before, immediately post and 24, 48 and 72 hours after an acute bout of eccentric exercise (5 sets of 15 maximum repetitions), on males and females (20-30 year-old). Results indicate that the semi-automated approach provides an excellent bench-mark that can be used as a clinical reliable tool.
OriginalsprogEngelsk
TitelProceedings of Smart Materials and Nondestructive Evaluation for Energy Systems 2017
RedaktørerNorbert G. Meyendorf
Antal sider6
ForlagSPIE - International Society for Optical Engineering
Publikationsdato19. apr. 2017
ISBN (Trykt)9781510608276
ISBN (Elektronisk)9781510608283
DOI
StatusUdgivet - 19. apr. 2017
Begivenhed3rd Conference on Smart Materials and Nondestructive Evaluation for Energy Systems - Portland, USA
Varighed: 25. mar. 201729. mar. 2017
Konferencens nummer: 3
http://spie.org/SS/conferencedetails/smart-materials-nondestructive-evaluation-for-energy-systems

Konference

Konference3rd Conference on Smart Materials and Nondestructive Evaluation for Energy Systems
Nummer3
LandUSA
ByPortland
Periode25/03/201729/03/2017
Internetadresse
NavnProceedings of SPIE, the International Society for Optical Engineering
Vol/bind10171
ISSN1605-7422

Fingeraftryk

Muscle
Image processing
Medicine

Citer dette

Avdelidis, N., Kappatos, V., Georgoulas, G., Karvelis, P., Deli, C. K., Theodorakeas, P., ... Jamurtas, A. Z. (2017). Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing. I N. G. Meyendorf (red.), Proceedings of Smart Materials and Nondestructive Evaluation for Energy Systems 2017 SPIE - International Society for Optical Engineering. Proceedings of SPIE, the International Society for Optical Engineering, Bind. 10171 https://doi.org/10.1117/12.2261278
Avdelidis, Nicolas ; Kappatos, Vassilios ; Georgoulas, George ; Karvelis, Petros ; Deli, C.K. ; Theodorakeas, Panagiotis ; Giakas, G. ; Tsiokanos, A. ; Koui, M. ; Jamurtas, A.Z. . / Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing. Proceedings of Smart Materials and Nondestructive Evaluation for Energy Systems 2017. red. / Norbert G. Meyendorf. SPIE - International Society for Optical Engineering, 2017. (Proceedings of SPIE, the International Society for Optical Engineering, Bind 10171).
@inproceedings{29e085d7c4e141ae843428aea8adb2ba,
title = "Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing",
abstract = "Exercise induced muscle damage (EIMD), is usually experienced in i) humans who have been physically inactive for prolonged periods of time and then begin with sudden training trials and ii) athletes who train over their normal limits. EIMD is not so easy to be detected and quantified, by means of commonly measurement tools and methods. Thermography has been used successfully as a research detection tool in medicine for the last 6 decades but very limited work has been reported on EIMD area. The main purpose of this research is to assess and characterize EIMD, using thermography and image processing techniques. The first step towards that goal is to develop a reliable segmentation technique to isolate the region of interest (ROI). A semi-automatic image processing software was designed and regions of the left and right leg based on superpixels were segmented. The image is segmented into a number of regions and the user is able to intervene providing the regions which belong to each of the two legs. In order to validate the image processing software, an extensive experimental investigation was carried out, acquiring thermographic images of the rectus femoris muscle before, immediately post and 24, 48 and 72 hours after an acute bout of eccentric exercise (5 sets of 15 maximum repetitions), on males and females (20-30 year-old). Results indicate that the semi-automated approach provides an excellent bench-mark that can be used as a clinical reliable tool.",
keywords = "Superpixels, exercise induced muscle damage (EIMD), thermography, image processing",
author = "Nicolas Avdelidis and Vassilios Kappatos and George Georgoulas and Petros Karvelis and C.K. Deli and Panagiotis Theodorakeas and G. Giakas and A. Tsiokanos and M. Koui and A.Z. Jamurtas",
year = "2017",
month = "4",
day = "19",
doi = "10.1117/12.2261278",
language = "English",
isbn = "9781510608276",
editor = "Meyendorf, {Norbert G.}",
booktitle = "Proceedings of Smart Materials and Nondestructive Evaluation for Energy Systems 2017",
publisher = "SPIE - International Society for Optical Engineering",
address = "United States",

}

Avdelidis, N, Kappatos, V, Georgoulas, G, Karvelis, P, Deli, CK, Theodorakeas, P, Giakas, G, Tsiokanos, A, Koui, M & Jamurtas, AZ 2017, Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing. i NG Meyendorf (red.), Proceedings of Smart Materials and Nondestructive Evaluation for Energy Systems 2017. SPIE - International Society for Optical Engineering, Proceedings of SPIE, the International Society for Optical Engineering, bind 10171, 3rd Conference on Smart Materials and Nondestructive Evaluation for Energy Systems, Portland, USA, 25/03/2017. https://doi.org/10.1117/12.2261278

Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing. / Avdelidis, Nicolas ; Kappatos, Vassilios; Georgoulas, George ; Karvelis, Petros; Deli, C.K.; Theodorakeas, Panagiotis; Giakas, G. ; Tsiokanos, A. ; Koui, M. ; Jamurtas, A.Z. .

Proceedings of Smart Materials and Nondestructive Evaluation for Energy Systems 2017. red. / Norbert G. Meyendorf. SPIE - International Society for Optical Engineering, 2017. (Proceedings of SPIE, the International Society for Optical Engineering, Bind 10171).

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing

AU - Avdelidis, Nicolas

AU - Kappatos, Vassilios

AU - Georgoulas, George

AU - Karvelis, Petros

AU - Deli, C.K.

AU - Theodorakeas, Panagiotis

AU - Giakas, G.

AU - Tsiokanos, A.

AU - Koui, M.

AU - Jamurtas, A.Z.

PY - 2017/4/19

Y1 - 2017/4/19

N2 - Exercise induced muscle damage (EIMD), is usually experienced in i) humans who have been physically inactive for prolonged periods of time and then begin with sudden training trials and ii) athletes who train over their normal limits. EIMD is not so easy to be detected and quantified, by means of commonly measurement tools and methods. Thermography has been used successfully as a research detection tool in medicine for the last 6 decades but very limited work has been reported on EIMD area. The main purpose of this research is to assess and characterize EIMD, using thermography and image processing techniques. The first step towards that goal is to develop a reliable segmentation technique to isolate the region of interest (ROI). A semi-automatic image processing software was designed and regions of the left and right leg based on superpixels were segmented. The image is segmented into a number of regions and the user is able to intervene providing the regions which belong to each of the two legs. In order to validate the image processing software, an extensive experimental investigation was carried out, acquiring thermographic images of the rectus femoris muscle before, immediately post and 24, 48 and 72 hours after an acute bout of eccentric exercise (5 sets of 15 maximum repetitions), on males and females (20-30 year-old). Results indicate that the semi-automated approach provides an excellent bench-mark that can be used as a clinical reliable tool.

AB - Exercise induced muscle damage (EIMD), is usually experienced in i) humans who have been physically inactive for prolonged periods of time and then begin with sudden training trials and ii) athletes who train over their normal limits. EIMD is not so easy to be detected and quantified, by means of commonly measurement tools and methods. Thermography has been used successfully as a research detection tool in medicine for the last 6 decades but very limited work has been reported on EIMD area. The main purpose of this research is to assess and characterize EIMD, using thermography and image processing techniques. The first step towards that goal is to develop a reliable segmentation technique to isolate the region of interest (ROI). A semi-automatic image processing software was designed and regions of the left and right leg based on superpixels were segmented. The image is segmented into a number of regions and the user is able to intervene providing the regions which belong to each of the two legs. In order to validate the image processing software, an extensive experimental investigation was carried out, acquiring thermographic images of the rectus femoris muscle before, immediately post and 24, 48 and 72 hours after an acute bout of eccentric exercise (5 sets of 15 maximum repetitions), on males and females (20-30 year-old). Results indicate that the semi-automated approach provides an excellent bench-mark that can be used as a clinical reliable tool.

KW - Superpixels

KW - exercise induced muscle damage (EIMD)

KW - thermography

KW - image processing

U2 - 10.1117/12.2261278

DO - 10.1117/12.2261278

M3 - Article in proceedings

SN - 9781510608276

BT - Proceedings of Smart Materials and Nondestructive Evaluation for Energy Systems 2017

A2 - Meyendorf, Norbert G.

PB - SPIE - International Society for Optical Engineering

ER -

Avdelidis N, Kappatos V, Georgoulas G, Karvelis P, Deli CK, Theodorakeas P et al. Detection and characterization of exercise induced muscle damage (EIMD) via thermography and image processing. I Meyendorf NG, red., Proceedings of Smart Materials and Nondestructive Evaluation for Energy Systems 2017. SPIE - International Society for Optical Engineering. 2017. (Proceedings of SPIE, the International Society for Optical Engineering, Bind 10171). https://doi.org/10.1117/12.2261278