Active dynamic thermography to detect the presence of stenosis in the carotid artery

Unlike passive infrared (IR) thermal imaging/thermography, where no external stimulation is applied, active dynamic thermography (ADT) results in a high contrast thermal image. In ADT, transient thermal images of the skin surface are captured using an IR thermal camera while the skin surface is stim...

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Main Authors: Saxena, Ashish, Ng, Eddie Yin Kwee, Lim, Soo Teik
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/154198
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1541982021-12-16T05:08:40Z Active dynamic thermography to detect the presence of stenosis in the carotid artery Saxena, Ashish Ng, Eddie Yin Kwee Lim, Soo Teik School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Active Dynamic Thermography Atherosclerosis Unlike passive infrared (IR) thermal imaging/thermography, where no external stimulation is applied, active dynamic thermography (ADT) results in a high contrast thermal image. In ADT, transient thermal images of the skin surface are captured using an IR thermal camera while the skin surface is stimulated externally, followed by a recovery phase. Upon the application of external stimulation, the presence of stenosis in the carotid artery is expected to differ the recovery rate of the external neck skin surface from the case with no stenosis. In this prospective study, using an external cooling stimulation, the ADT procedure was performed on a total of 54 (N) samples (C: N = 19, 0% stenosis; D1: N = 17, 10%-29% stenosis; D2: N = 18, ≥30% stenosis using Duplex Ultrasound). Analyzing the ADT sequence with a parameter called tissue activity ratio (TAR), the samples were classified using a cut-off value: C versus (D1+D2) and (C + D1) versus D2. As the degree of stenosis increases, the value of the TAR parameter depreciates with a significant difference among the sample groups (C:0.97 ± 0.05, D1:0.80 ± 0.04, D2:0.75 ± 0.02; p < 0.05). Under the two classification scenarios, classification accuracies of 90% and 85%, respectively, were achieved. This study suggests the potential of screening CAS with the proposed ADT procedure. This work was supported by SingHealth-NTU collaborative research grant (Grant number: SHS-NTU/014/2016). 2021-12-16T05:08:39Z 2021-12-16T05:08:39Z 2020 Journal Article Saxena, A., Ng, E. Y. K. & Lim, S. T. (2020). Active dynamic thermography to detect the presence of stenosis in the carotid artery. Computers in Biology and Medicine, 120, 103718-. https://dx.doi.org/10.1016/j.compbiomed.2020.103718 0010-4825 https://hdl.handle.net/10356/154198 10.1016/j.compbiomed.2020.103718 32250851 2-s2.0-85082463505 120 103718 en University SingHealth SHS-NTU/014/2016 Computers in Biology and Medicine © 2020 Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Active Dynamic Thermography
Atherosclerosis
spellingShingle Engineering::Mechanical engineering
Active Dynamic Thermography
Atherosclerosis
Saxena, Ashish
Ng, Eddie Yin Kwee
Lim, Soo Teik
Active dynamic thermography to detect the presence of stenosis in the carotid artery
description Unlike passive infrared (IR) thermal imaging/thermography, where no external stimulation is applied, active dynamic thermography (ADT) results in a high contrast thermal image. In ADT, transient thermal images of the skin surface are captured using an IR thermal camera while the skin surface is stimulated externally, followed by a recovery phase. Upon the application of external stimulation, the presence of stenosis in the carotid artery is expected to differ the recovery rate of the external neck skin surface from the case with no stenosis. In this prospective study, using an external cooling stimulation, the ADT procedure was performed on a total of 54 (N) samples (C: N = 19, 0% stenosis; D1: N = 17, 10%-29% stenosis; D2: N = 18, ≥30% stenosis using Duplex Ultrasound). Analyzing the ADT sequence with a parameter called tissue activity ratio (TAR), the samples were classified using a cut-off value: C versus (D1+D2) and (C + D1) versus D2. As the degree of stenosis increases, the value of the TAR parameter depreciates with a significant difference among the sample groups (C:0.97 ± 0.05, D1:0.80 ± 0.04, D2:0.75 ± 0.02; p < 0.05). Under the two classification scenarios, classification accuracies of 90% and 85%, respectively, were achieved. This study suggests the potential of screening CAS with the proposed ADT procedure.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Saxena, Ashish
Ng, Eddie Yin Kwee
Lim, Soo Teik
format Article
author Saxena, Ashish
Ng, Eddie Yin Kwee
Lim, Soo Teik
author_sort Saxena, Ashish
title Active dynamic thermography to detect the presence of stenosis in the carotid artery
title_short Active dynamic thermography to detect the presence of stenosis in the carotid artery
title_full Active dynamic thermography to detect the presence of stenosis in the carotid artery
title_fullStr Active dynamic thermography to detect the presence of stenosis in the carotid artery
title_full_unstemmed Active dynamic thermography to detect the presence of stenosis in the carotid artery
title_sort active dynamic thermography to detect the presence of stenosis in the carotid artery
publishDate 2021
url https://hdl.handle.net/10356/154198
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