Automatic Atherosclerotic Heart Disease Detection in Intracoronary Optical Coherence Tomography Images

Automatic Atherosclerotic Heart Disease Detection in Intracoronary Optical Coherence Tomography Images
Title:
Automatic Atherosclerotic Heart Disease Detection in Intracoronary Optical Coherence Tomography Images
Other Titles:
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
DOI:
10.1109/EMBC.2014.6943557
Keywords:
Publication Date:
26 August 2014
Citation:
M. Xu, J. Cheng, D. W. K. Wong, A. Taruya, A. Tanaka and J. Liu, "Automatic atherosclerotic heart disease detection in intracoronary optical coherence tomography images," 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 174-177. doi: 10.1109/EMBC.2014.6943557
Abstract:
Intracoronary optical coherence tomography (OCT) is a new invasive imaging system which produces high-resolution images of coronary arteries. Preliminary data suggests that the atherosclerotic disease can be detected from the intracoronary OCT images. However, manual assessment of the intracoronary OCT images is time-consuming and subjective. In this work, we present an automatic atherosclerotic disease detection system on intracoronary OCT images. In the system, a preprocessing scheme is first applied to remove speckle noise and artifacts caused by catheter. Intensity, Histograms of Oriented Gradients (HOG), and Local Binary Patterns (LBP) are then extracted to represent the OCT image. Finally a linear SVM classifier is employed to detect the unhealthy subject. Four-fold cross-validation process is conducted to evaluate the proposed system; and a dataset with 200 images from healthy subjects and 200 images from unhealthy subjects is built to evaluate the system. The mean accuracy is 0.90 and standard deviation is 0.0427, which indicates that the proposed system is accurate and stable.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1094-687X
1558-4615
ISBN:
978-1-4244-7929-0
978-1-4244-7927-6
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