Fully Automated Lipid Pool Detection Using Near Infrared Spectroscopy
Joint Authors
Jaworek-Korjakowska, Joanna
Pociask, Elżbieta
Malinowski, Krzysztof Piotr
Roleder, Tomasz
Wojakowski, Wojciech
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Background.
Detecting and identifying vulnerable plaque, which is prone to rupture, is still a challenge for cardiologist.
Such lipid core-containing plaque is still not identifiable by everyday angiography, thus triggering the need to develop a new tool where NIRS-IVUS can visualize plaque characterization in terms of its chemical and morphologic characteristic.
The new tool can lead to the development of new methods of interpreting the newly obtained data.
In this study, the algorithm to fully automated lipid pool detection on NIRS images is proposed.
Method.
Designed algorithm is divided into four stages: preprocessing (image enhancement), segmentation of artifacts, detection of lipid areas, and calculation of Lipid Core Burden Index.
Results.
A total of 31 NIRS chemograms were analyzed by two methods.
The metrics, total LCBI, maximal LCBI in 4 mm blocks, and maximal LCBI in 2 mm blocks, were calculated to compare presented algorithm with commercial available system.
Both intraclass correlation (ICC) and Bland-Altman plots showed good agreement and correlation between used methods.
Conclusions.
Proposed algorithm is fully automated lipid pool detection on near infrared spectroscopy images.
It is a tool developed for offline data analysis, which could be easily augmented for newer functions and projects.
American Psychological Association (APA)
Pociask, Elżbieta& Jaworek-Korjakowska, Joanna& Malinowski, Krzysztof Piotr& Roleder, Tomasz& Wojakowski, Wojciech. 2016. Fully Automated Lipid Pool Detection Using Near Infrared Spectroscopy. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1100062
Modern Language Association (MLA)
Pociask, Elżbieta…[et al.]. Fully Automated Lipid Pool Detection Using Near Infrared Spectroscopy. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1100062
American Medical Association (AMA)
Pociask, Elżbieta& Jaworek-Korjakowska, Joanna& Malinowski, Krzysztof Piotr& Roleder, Tomasz& Wojakowski, Wojciech. Fully Automated Lipid Pool Detection Using Near Infrared Spectroscopy. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1100062
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100062