scholarly journals Automatic Thin Cap Fibroatheroma Detection Using Fusion of Intravascular Ultrasound and Virtual Histology Images

2018 ◽  
Author(s):  
Zahra Rezaei ◽  
Ali Selamat ◽  
Arash Taki ◽  
Mohd Shafry Mohd Rahim ◽  
Mohammed Rafiq Abdul Kadir ◽  
...  
Keyword(s):  
Intravascular Ultrasound ◽  
Imaging Modality ◽  
Human Interaction ◽  
Border Detection ◽  
Significant Information ◽  
Virtual Histology ◽  
Plaque Component ◽  
Ivus Image ◽  
Histopathological Studies

Virtual Histology- Intravascular Ultrasound (VH-IVUS) image is an available method for visualizing plaque component to detect thin cap fibroatheroma. Nevertheless, this imaging modality has considerable limitations to extract the plaque component features and identifying the TCFA plaque. The aim of this paper is to improve the identification of TCFA using fusion of IVUS and VH-IVUS images. In order to generate the automatic technique for reducing the human interaction, a new method namely Active Contour based Plaque Border Detection (ACPB) is proposed. In order to perform the pixel wise classification, hybrid of K-means algorithm with Particle Swarm Optimization and Plaque based Minimum Euclidean Distance (KMPSO-PMED) method is presented to classify the plaque region as well. Moreover, to obtain more significant information of imaging modalities, fusion of two different images consisting of VH-IVUS and IVUS is performed. Therefore, geometric features are extracted from the plaque region and combine with IVUS features. Furthermore, different group of plaque features are divided by means of the histopathological studies. SVM classifiers is applied to detect the TCFA and non-TCFA plaques. The proposed method is applied on 566 in-vivo IVUS and their matching VH-IVUS images obtained from 9 patients. The best result of SVM illustrates the accuracy rates of 99.41% for classification of TCFA plaque. The results prove that the highest accuracy is achieved by integrated features of IVUS and VH-IVUS images.

scholarly journals An algorithm to measure unsymmetrical circle shape of intravascular ultrasound image using image processing techniques

2021 ◽  
Vol 10 (1) ◽  
pp. 508-515
Author(s):  
Suhaili Beeran Kutty ◽  
Rahmita Wirza O. K. Rahmat ◽  
Sazzli Shahlan Kassim ◽  
Hizmawati Madzin ◽  
Hazlina Hamdan
Keyword(s):  
Image Processing ◽  
Intravascular Ultrasound ◽  
Ultrasound Image ◽  
Region Of Interest ◽  
Processing Technique ◽  
Human Interaction ◽  
Image Processing Technique ◽  
Border Detection ◽  
Cross Sectional ◽  
Minimum Diameter

In diagnosing coronary artery disease, measurement of the cross-sectional area of the lumen, maximum and minimum diameter is very important. Mainly, it will be used to confirm the diagnosing, to predict the stenosis if any and to ensure the size of the stent to be used. However, the measurement only offers by the existing software and some of the software needs human interaction to complete the process. The purpose of this paper is to present the algorithm to measure the region of interest (ROI) on intravascular ultrasound (IVUS) using an image processing technique. The methodology starts with image acquisition process followed by image segmentation. After that, border detection for each ROI was detected and the algorithm was applied to calculate the corresponding region. The result shows that the measurement is accurate and could be used not only for IVUS but applicable to solid circle and unsymmetrical circle shape. 

Abstract 1982: In Vivo Virtual Histology Intravascular Ultrasound Correlates of Risk Factors for Sudden Coronary Death in Men: Results from the Prospective, Global, Multi-center VH-IVUS Registry

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Eduardo Missel ◽  
Gary S Mintz ◽  
Stephane G Carlier ◽  
Jie Qian ◽  
Shoujie Shan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intravascular Ultrasound ◽  
Density Lipoprotein ◽  
Necrotic Core ◽  
Consecutive Series ◽  
Virtual Histology ◽  
Virtual Histology Intravascular Ultrasound ◽  
Coronary Death ◽  
Sudden Coronary Death

Background: Histopathological data shows that cigarette smoking and a total-cholesterol-to-high-density-lipoprotein ratio (TC/HDL) >5 are associated to sudden coronary death (SCD) in men. We hypothesized a relationship between virtual histology intravascular ultrasound (VH-IVUS) findings and these risk factors. Methods and Results: We performed whole pullback VH-IVUS analyses in a consecutive series of 473 male pts and measured the four basic VH-IVUS coronary plaque components - fibrous (FI), fibro-fatty (FF), dense calcium (DC) and necrotic core (NC) - as well as calculated a NC/DC ratio. Pts age was 61±11years, with 27% current smokers and 69% with a lipid disorder. Among VH-IVUS parameters, the NC/DC ratio was the only parameter related both to the TC/HDL ratio (r=0.18, p=0.0008) and LDL-C levels (r=0.17, p=0.002); it had a negative correlation with HDL-C levels (r=0.11, p=0.03), and was significantly higher for smokers [median: 1.98 (1.35, 3.18)] vs. non-smokers [median: 1.70 (1.23, 2.53), p=0.006]. A NC/DC value >3 was the threshold that best identified smokers with a TC/HDL>5 (odds ratio 3.0, p=0.0001). ROC curves showed superiority of the NC/DC ratio (A 2 : 0.64, p<0.0001) over %DC (A 2 : 0.58, p=0.006) or %NC (A 2 : 0.51, p=0.43) as isolate parameters to identify pts with a risk profile for SCD (Figure ). Conclusions: In diseased coronary segments the ratio of necrotic core to calcification detected by VH-IVUS is related to previously-published pathologic risk factors for SCD.

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