scholarly journals Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Hamed Hamid Muhammed ◽  
Jimmy C. Azar

A novel method for characterizing and visualizing the progression of waves along the walls of the carotid artery is presented. The new approach is noninvasive and able to simultaneously capture the spatial and the temporal propagation of wavy patterns along the walls of the carotid artery in a completely automated manner. Spatiotemporal and spatiospectral 2D maps describing these patterns (in both the spatial and the frequency domains, resp.) were generated and analyzed by visual inspection as well as automatic feature extraction and classification. Three categories of cases were considered: pathological elderly, healthy elderly, and healthy young cases. Automatic differentiation, between cases of these three categories, was achieved with a sensitivity of 97.1% and a specificity of 74.5%. Two features were proposed and computed to measure the homogeneity of the spatiospectral 2D map which presents the spectral characteristics of the carotid artery wall’s wavy motion pattern which are related to the physical, mechanical (e.g., elasticity), and physiological properties and conditions along the artery. These results are promising and confirm the potential of the proposed method in providing useful information which can help in revealing the physiological condition of the cardiovascular system.

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6656
Author(s):  
Rutuja Salvi ◽  
Patricio Fuentealba ◽  
Jasmin Henze ◽  
Pinar Bisgin ◽  
Thomas Sühn ◽  
...  

Background: Biometric sensing is a security method for protecting information and property. State-of-the-art biometric traits are behavioral and physiological in nature. However, they are vulnerable to tampering and forgery. Methods: The proposed approach uses blood flow sounds in the carotid artery as a source of biometric information. A handheld sensing device and an associated desktop application were built. Between 80 and 160 carotid recordings of 11 s in length were acquired from seven individuals each. Wavelet-based signal analysis was performed to assess the potential for biometric applications. Results: The acquired signals per individual proved to be consistent within one carotid sound recording and between multiple recordings spaced by several weeks. The averaged continuous wavelet transform spectra for all cardiac cycles of one recording showed specific spectral characteristics in the time-frequency domain, allowing for the discrimination of individuals, which could potentially serve as an individual fingerprint of the carotid sound. This is also supported by the quantitative analysis consisting of a small convolutional neural network, which was able to differentiate between different users with over 95% accuracy. Conclusion: The proposed approach and processing pipeline appeared promising for the discrimination of individuals. The biometrical recognition could clinically be used to obtain and highlight differences from a previously established personalized audio profile and subsequently could provide information on the source of the deviation as well as on its effects on the individual’s health. The limited number of individuals and recordings require a study in a larger population along with an investigation of the long-term spectral stability of carotid sounds to assess its potential as a biometric marker. Nevertheless, the approach opens the perspective for automatic feature extraction and classification.


2016 ◽  
Vol 24 (5) ◽  
pp. 749-760
Author(s):  
Lei Yang ◽  
Jun Lu ◽  
Ming Dai ◽  
Li-Jie Ren ◽  
Wei-Zong Liu ◽  
...  

2020 ◽  
Vol 26 (3) ◽  
pp. 316-320
Author(s):  
Hisayuki Hosoo ◽  
Wataro Tsuruta ◽  
Yusuke Hamada ◽  
Masahiro Katsumata ◽  
Daiichiro Ishigami ◽  
...  

Background To prevent ischemic complications during carotid artery stenting, accurate detection of plaque protrusion and appropriate additional treatment are essential. Here, we introduce a novel method for the detection of plaque protrusion under distal balloon protection using three-dimensional rotation angiography—“retrograde 3DRA.” We evaluated the safety and efficacy of this method. Materials and methods We retrospectively analyzed 28 consecutive carotid artery stenting procedures under distal balloon protection at our hospital between July 2017 and August 2019. The first line of protection was dual balloon protection (proximal and distal balloon). After stent deployment, balloon dilatation, and subsequent blood aspiration, 3DRA was performed with the injection of diluted contrast medium from the aspiration catheter positioned just proximal to the distal protection balloon. The stent lumen was analyzed by obtaining the reconstruction maximum intensity projection image. Results Among the 28 cases, all cases could be assessed for in-stent plaque protrusion using “retrograde 3DRA.” We were able to evaluate the stent lumen clearly. There were three cases (10.7%) in which plaque protrusion could be confirmed. Since additional balloon dilatation was performed for all protrusion cases under continuing balloon protection, no ischemic complications occurred. Conclusion Retrograde 3DRA could be safe and useful for the detection of plaque protrusions and to avoid ischemic complication for tolerable cases of internal carotid artery transient balloon protection.


2008 ◽  
Vol 196 (1) ◽  
pp. 391-397 ◽  
Author(s):  
Hisashi Okimoto ◽  
Yasushi Ishigaki ◽  
Yoshihiro Koiwa ◽  
Yoshinori Hinokio ◽  
Takehide Ogihara ◽  
...  

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