Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154198
Title: Active dynamic thermography to detect the presence of stenosis in the carotid artery
Authors: Saxena, Ashish
Ng, Eddie Yin Kwee
Lim, Soo Teik
Keywords: Engineering::Mechanical engineering
Issue Date: 2020
Source: 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
Project: University SingHealth SHS-NTU/014/2016
Journal: Computers in Biology and Medicine
Abstract: 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.
URI: https://hdl.handle.net/10356/154198
ISSN: 0010-4825
DOI: 10.1016/j.compbiomed.2020.103718
Rights: © 2020 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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