Optical Coherence Tomography Image Interpretation and Image Processing Methodologies

2013 ◽  
pp. 513-528
Author(s):  
Simon D. Thackray ◽  
Christos V. Bourantas ◽  
Poay H. Loh ◽  
Vasilios D. Tsakanikas ◽  
Dimitrios I. Fotiadis
Keyword(s):  
Image Processing ◽  
Optical Coherence Tomography ◽  
Image Interpretation ◽  
Coronary Plaque ◽  
Optical Coherence Tomography Image ◽  
Imaging Method ◽  
Optical Coherence ◽  
Fibrous Cap ◽  
Stent Expansion ◽  
Fibrous Cap Thickness

Optical coherence tomography (OCT) is a light-based invasive imaging method allowing accurate evaluation of coronary luminal morphology and reliable characterization of plaque. Its high resolution (10-20µm) offers the unique possibility of identifying clinically important coronary plaque microstructures such as macrophages, the presence and type of thrombus, stent expansion and endothelization and provides accurate assessment of the fibrous cap thickness in high risk plaques. These attributes placed OCT in a unique position as useful tool in research and clinical practice. As a new image modality, many interventional cardiologists are not familiar with its interpretation. In addition, there are only few developed methodologies able to process the OCT data and give comprehensive vessel representation and reliable measurements. Thus, this chapter focuses on the interpretation of OCT images and discusses the available image processing methodologies.

Optical Coherence Tomography Image Interpretation and Image Processing Methodologies

2011 ◽  
pp. 194-208
Author(s):  
Simon D. Thackray ◽  
Christos V. Bourantas ◽  
Poay H. Loh ◽  
Vasilios D. Tsakanikas ◽  
Dimitrios I. Fotiadis
Keyword(s):  
Image Processing ◽  
Optical Coherence Tomography ◽  
Image Interpretation ◽  
Coronary Plaque ◽  
Optical Coherence Tomography Image ◽  
Imaging Method ◽  
Optical Coherence ◽  
Fibrous Cap ◽  
Stent Expansion ◽  
Fibrous Cap Thickness

Optical coherence tomography (OCT) is a light-based invasive imaging method allowing accurate evaluation of coronary luminal morphology and reliable characterization of plaque. Its high resolution (10-20µm) offers the unique possibility of identifying clinically important coronary plaque microstructures such as macrophages, the presence and type of thrombus, stent expansion and endothelization and provides accurate assessment of the fibrous cap thickness in high risk plaques. These attributes placed OCT in a unique position as useful tool in research and clinical practice. As a new image modality, many interventional cardiologists are not familiar with its interpretation. In addition, there are only few developed methodologies able to process the OCT data and give comprehensive vessel representation and reliable measurements. Thus, this chapter focuses on the interpretation of OCT images and discusses the available image processing methodologies.

EFFECT OF STATIN THERAPY ON FIBROUS CAP THICKNESS IN CORONARY PLAQUE USING OPTICAL COHERENCE TOMOGRAPHY: INSIGHTS FROM A META-ANALYSIS

2018 ◽  
Vol 71 (11) ◽  
pp. A1246
Author(s):  
Hector Manuel Garcia Garcia ◽  
Yuichi Ozaki ◽  
Solomon S. Beyene ◽  
Alexandre Kajita ◽  
Viana Azizi ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Statin Therapy ◽  
Meta Analysis ◽  
Coronary Plaque ◽  
Optical Coherence ◽  
Fibrous Cap ◽  
Fibrous Cap Thickness

scholarly journals Effect of Statin Therapy on Fibrous Cap Thickness in Coronary Plaque on Optical Coherence Tomography　― Review and Meta-Analysis ―

2019 ◽  
Vol 83 (7) ◽  
pp. 1480-1488 ◽  
Author(s):  
Yuichi Ozaki ◽  
Hector M. Garcia-Garcia ◽  
Solomon S. Beyene ◽  
Alexandre Hideo-Kajita ◽  
Kayode O. Kuku ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Statin Therapy ◽  
Meta Analysis ◽  
Coronary Plaque ◽  
Optical Coherence ◽  
Fibrous Cap ◽  
Fibrous Cap Thickness

scholarly journals Optical Coherence Tomography Predictors for a Favorable Vascular Response to Statin Therapy

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Akihiro Nakajima ◽  
Yoshiyasu Minami ◽  
Makoto Araki ◽  
Osamu Kurihara ◽  
Tsunenari Soeda ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Statin Therapy ◽  
Optical Coherence ◽  
Vascular Response ◽  
Unique Identifier ◽  
Tomography Imaging ◽  
3 Dimensional ◽  
Fibrous Cap ◽  
Optical Coherence Tomography Imaging ◽  
Fibrous Cap Thickness

Background Specific plaque phenotypes that predict a favorable response to statin therapy have not been systematically studied. This study aimed to identify optical coherence tomography predictors for a favorable vascular response to statin therapy. Methods and Results Patients who had serial optical coherence tomography imaging at baseline and at 6 months were included. Thin‐cap area (defined as an area with fibrous cap thickness <200 μm) was measured using a 3‐dimensional computer‐aided algorithm, and changes in the thin‐cap area at 6 months were calculated. A favorable vascular response was defined as the highest tertile in the degree of reduction of the thin‐cap area. Macrophage index was defined as the product of the average macrophage arc and length of the lesion with macrophage infiltration. Layered plaque was defined as a plaque with 1 or more layers of different optical density. In 84 patients, 140 nonculprit lipid plaques were identified. In multivariable analysis, baseline thin‐cap area (odds ratio [OR] 1.442; 95% CI, 1.024–2.031, P =0.036), macrophage index (OR, 1.031; 95% CI, 1.002–1.061, P =0.036), and layered plaque (OR, 2.767; 95% CI, 1.024–7.479, P =0.045) were identified as the significant predictors for a favorable vascular response. Favorable vascular response was associated with a decrease in the macrophage index. Conclusions Three optical coherence tomography predictors for a favorable vascular response to statin therapy have been identified: large thin‐cap area, high macrophage index, and layered plaque. Favorable vascular response to statin was correlated with signs of decreased inflammation. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01110538.

scholarly journals Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Rui Lv ◽  
Akiko Maehara ◽  
Mitsuaki Matsumura ◽  
Liang Wang ◽  
Qingyu Wang ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Intravascular Ultrasound ◽  
Coronary Plaque ◽  
Mean Value ◽  
Optical Coherence ◽  
Plaque Vulnerability ◽  
Fibrous Cap ◽  
Vulnerable Plaques ◽  
The Mean ◽  
Thickness Measurements

Abstract Background Detecting coronary vulnerable plaques in vivo and assessing their vulnerability have been great challenges for clinicians and the research community. Intravascular ultrasound (IVUS) is commonly used in clinical practice for diagnosis and treatment decisions. However, due to IVUS limited resolution (about 150–200 µm), it is not sufficient to detect vulnerable plaques with a threshold cap thickness of 65 µm. Optical Coherence Tomography (OCT) has a resolution of 15–20 µm and can measure fibrous cap thickness more accurately. The aim of this study was to use OCT as the benchmark to obtain patient-specific coronary plaque cap thickness and evaluate the differences between OCT and IVUS fibrous cap quantifications. A cap index with integer values 0–4 was also introduced as a quantitative measure of plaque vulnerability to study plaque vulnerability. Methods Data from 10 patients (mean age: 70.4; m: 6; f: 4) with coronary heart disease who underwent IVUS, OCT, and angiography were collected at Cardiovascular Research Foundation (CRF) using approved protocol with informed consent obtained. 348 slices with lipid core and fibrous caps were selected for study. Convolutional Neural Network (CNN)-based and expert-based data segmentation were performed using established methods previously published. Cap thickness data were extracted to quantify differences between IVUS and OCT measurements. Results For the 348 slices analyzed, the mean value difference between OCT and IVUS cap thickness measurements was 1.83% (p = 0.031). However, mean value of point-to-point differences was 35.76%. Comparing minimum cap thickness for each plaque, the mean value of the 20 plaque IVUS-OCT differences was 44.46%, ranging from 2.36% to 91.15%. For cap index values assigned to the 348 slices, the disagreement between OCT and IVUS assignments was 25%. However, for the OCT cap index = 2 and 3 groups, the disagreement rates were 91% and 80%, respectively. Furthermore, the observation of cap index changes from baseline to follow-up indicated that IVUS results differed from OCT by 80%. Conclusions These preliminary results demonstrated that there were significant differences between IVUS and OCT plaque cap thickness measurements. Large-scale patient studies are needed to confirm our findings.

scholarly journals Correlation of Serum Uric Acid Levels with Nonculprit Plaque Instability in Patients with Acute Coronary Syndromes: A 3-Vessel Optical Coherence Tomography Study

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Donghui Zhang ◽  
Ruoxi Zhang ◽  
Ning Wang ◽  
Lin Lin ◽  
Bo Yu
Keyword(s):  
Optical Coherence Tomography ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Elevated Serum ◽  
Coronary Plaque ◽  
Optical Coherence ◽  
Plaque Instability ◽  
Coronary Syndrome ◽  
Fibrous Cap ◽  
Coronary Syndromes

Elevated serum uric acid (SUA) level is known to be a prognostic factor in patients with acute coronary syndrome (ACS). However, the correlation between SUA level and coronary plaque instability has not been fully evaluated. The aim of this study was to investigate the association between SUA level and plaque instability of nonculprit lesions in patients with ACS using optical coherence tomography. A total of 150 patients with ACS who underwent 3-vessel optical coherence tomography were selected. Patients were classified into 3 groups according to tertiles of SUA level. There was a trend towards a thinner fibrous cap (0.15 ± 0.06 versus 0.07 ± 0.01 versus 0.04 ± 0.01 mm2, p<0.001) and a wider mean lipid arc (169.41 ± 33.16 versus 177.22 ± 37.76 versus 222.43 ± 47.65°, p<0.001) with increasing SUA tertile. The plaques of the high and intermediate tertile groups had a smaller minimum lumen area than the low tertile group (6.02 ± 1.11 versus 5.38 ± 1.28 mm2, p<0.001). In addition, thin-cap fibroatheromas, microvessels, macrophages, and cholesterol crystals were more frequent in the high tertile group than the low and intermediate groups. Multivariate analysis showed SUA level to be a predictor of plaque instability.

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