Fully Automated Lipid Pool Detection Using Near Infrared Spectroscopy.
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.
Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, Aleja Mickiewicza 30, 30-059 Krakow, Poland.
Elżbieta
0000-0001-8938-1089
E
Pociask
Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, Aleja Mickiewicza 30, 30-059 Krakow, Poland.
Joanna
0000-0003-0146-8652
J
Jaworek-Korjakowska
Faculty of Health Science, Institute of Public Health, Jagiellonian University Medical College, 31-531 Krakow, Poland.
Krzysztof Piotr
0000-0002-4644-6249
KP
Malinowski
Third Department of Cardiology, Medical University of Silesia, 40-635 Katowice, Poland.
Tomasz
0000-0002-1370-7369
T
Roleder
Third Department of Cardiology, Medical University of Silesia, 40-635 Katowice, Poland.
Wojciech
W
Wojakowski
D000465:Algorithms; D000792:Angiography; D016477:Artifacts; D050197:Atherosclerosis / Q000000981:diagnostic imaging*; D002309:Cardiology / Q000295:instrumentation* / Q000379:methods; D003331:Coronary Vessels / Q000503:physiopathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D008055:Lipids / Q000032:analysis*; D010363:Pattern Recognition, Automated / Q000379:methods*; D058226:Plaque, Atherosclerotic / Q000000981:diagnostic imaging*; D015203:Reproducibility of Results; D012984:Software; D019265:Spectroscopy, Near-Infrared; D015607:Stents
D008055:Lipids