Analysis of Carotid Plaque Using Multifractal method in Ultrasound Images

2019 ◽  
Author(s):  
B. Smitha ◽  
Paul Joseph K.
Keyword(s):  
Carotid Plaque ◽  
Ultrasound Images ◽  
Multifractal Method

scholarly journals Texture and Morphological Analysis of Ultrasound Images of the Carotid Plaque for the Assessment of Stroke

2005 ◽  
Author(s):  
Andrew Nicolaides ◽  
Marios Pattichis ◽  
Christodoulos Christodoulou ◽  
Efthyvoulos Kyriacou ◽  
Marios Pantziaris ◽  
...  
Keyword(s):  
Carotid Plaque ◽  
Morphological Analysis ◽  
Ultrasound Images

FULL-AUTOMATED MEDICAL IMAGING SYSTEM FOR SEGMENTATION AND DETECTION OF CAROTID PLAQUE AND CAROTID ARTERY LUMEN FROM ULTRASOUND IMAGES

2012 ◽  
Vol 57 (SI-1 Track-B) ◽  
Author(s):  
Lakis Christodoulou ◽  
Christos P. Loizou ◽  
Christina Spyrou ◽  
Marios Pantziaris ◽  
Takis Kasparis
Keyword(s):  
Medical Imaging ◽  
Carotid Artery ◽  
Carotid Plaque ◽  
Imaging System ◽  
Ultrasound Images

Anatomic Distribution of the Carotid Bulb as Determined by Duplex Ultrasound

2007 ◽  
Vol 31 (2) ◽  
pp. 87-91
Author(s):  
Jenilee B. Thornton ◽  
Ann Marie Kupinski ◽  
Philip S. K. Paty ◽  
R. Clement Darling
Keyword(s):  
Carotid Plaque ◽  
Carotid Arteries ◽  
Duplex Ultrasound ◽  
Carotid Bifurcation ◽  
Ultrasound Images ◽  
Carotid Duplex ◽  
Anatomic Distribution ◽  
Carotid Bulb ◽  
The Common ◽  
Anatomic Region

Ultrasound reports describe carotid plaque as being located within the bulb or bifurcation. These terms are used interchangeably; however they refer to two distinct regions. The purpose of this study was to determine the presence of a bulbous region within the common (CCA), internal (ICA) or external (ECA) carotid arteries by using ultrasound. Ultrasound images were examined from 100 carotid systems from 53 males and 47 females ranging in age from 17–88 years (mean age 65 ± 15 years). An outward dilation, consistent with the expected appearance of a carotid bulb, was observed in the ICA in 49 patients. Nineteen patients had a bulb in both the ECA and ICA. In 10 patients, a bulb was present within both the ICA and CCA. In 5 patients, the CCA, ICA and ECA all contained bulbous regions. A bulb was present only within the CCA in five patients and only within the ECA in three patients. No bulb was present in nine patients. These data reveal that a bulbous region occurs in multiple segments. Defining plaque as being present within the carotid bulb is ambiguous since this applies to more than one vessel. Based on these findings, it is more appropriate to define plaque by using terms such as proximal, mid or distal. Carotid bifurcation refers to a specific anatomic region and would be acceptable as defining the location of disease. However, given carotid bulb variability, the term “carotid bulb” should be removed from common use within carotid duplex interpretations.

scholarly journals Multilevel Strip Pooling-Based Convolutional Neural Network for the Classification of Carotid Plaque Echogenicity

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Wei Ma ◽  
Xinyao Cheng ◽  
Xiangyang Xu ◽  
Furong Wang ◽  
Ran Zhou ◽  
...  
Keyword(s):  
Classification Accuracy ◽  
Carotid Plaque ◽  
Longitudinal Section ◽  
Input Image ◽  
Ultrasound Images ◽  
Carotid Plaques ◽  
Spatial Pyramid Pooling ◽  
The Stability ◽  
Fold Cross Validation

Carotid plaque echogenicity in ultrasound images has been found to be closely correlated with the risk of stroke in atherosclerotic patients. The automatic and accurate classification of carotid plaque echogenicity is of great significance for clinically estimating the stability of carotid plaques and predicting cardiovascular events. Existing convolutional neural networks (CNNs) can provide an automatic carotid plaque echogenicity classification; however, they require a fixed-size input image, while the carotid plaques are of varying sizes. Although cropping and scaling the input carotid plaque images is promising, it will cause content loss or distortion and hence reduce the classification accuracy. In this study, we redesign the spatial pyramid pooling (SPP) and propose multilevel strip pooling (MSP) for the automatic and accurate classification of carotid plaque echogenicity in the longitudinal section. The proposed MSP module can accept arbitrarily sized carotid plaques as input and capture a long-range informative context to improve the accuracy of classification. In our experiments, we implement an MSP-based CNN by using the visual geometry group (VGG) network as the backbone. A total of 1463 carotid plaques (335 echo-rich plaques, 405 intermediate plaques, and 723 echolucent plaques) were collected from Zhongnan Hospital of Wuhan University. The 5-fold cross-validation results show that the proposed MSP-based VGGNet achieves a sensitivity of 92.1%, specificity of 95.6%, accuracy of 92.1%, and F1-score of 92.1%. These results demonstrate that our approach provides a way to enhance the applicability of CNN by enabling the acceptance of arbitrary input sizes and improving the classification accuracy of carotid plaque echogenicity, which has a great potential for an efficient and objective risk assessment of carotid plaques in the clinic.

Sign in / Sign up

Export Citation Format

Share Document