Low-rank Gaussian mixture modeling of space-snapshot representation of microphone array measurements for acoustic imaging in a complex noisy environment

2022 ◽  
Vol 165 ◽  
pp. 108294
Author(s):  
Liang Yu ◽  
Jerome Antoni ◽  
Jiayu Deng ◽  
Cong Li ◽  
Weikang Jiang
Keyword(s):  
Microphone Array ◽  
Gaussian Mixture ◽  
Mixture Modeling ◽  
Acoustic Imaging ◽  
Low Rank ◽  
Noisy Environment ◽  
Array Measurements ◽  
Gaussian Mixture Modeling

scholarly journals Combining asynchronous microphone array measurements for enhanced acoustic imaging and volumetric source mapping

2021 ◽  
Vol 182 ◽  
pp. 108247
Author(s):  
Lourenço Tércio Lima Pereira ◽  
Roberto Merino-Martínez ◽  
Daniele Ragni ◽  
David Gómez-Ariza ◽  
Mirjam Snellen
Keyword(s):  
Microphone Array ◽  
Acoustic Imaging ◽  
Array Measurements

scholarly journals Thresholding techniques for segmentation of atherosclerotic plaque and lumen areas in vascular arteries

2015 ◽  
Vol 63 (1) ◽  
pp. 269-280 ◽  
Author(s):  
T. Markiewicz ◽  
M. Dziekiewicz ◽  
S. Osowski ◽  
M. Maruszynski ◽  
W. Kozlowski ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Blood Vessel ◽  
Atherosclerotic Plaque ◽  
Gaussian Mixture ◽  
Mixture Modeling ◽  
Automatic Evaluation ◽  
Atherosclerosis Progression ◽  
Vessel Area ◽  
Gaussian Mixture Modeling ◽  
Automatic Methods

Abstract The paper develops the automatic methods of segmentation of the blood vessel area in the images of the multi-slice computed tomography, allowing to separate the lumen from the atherosclerotic plaque areas. The solution is based on the application of different implementations of thresholding, including between class variance in a bimodal mode, Gaussian mixture modeling, clustering technique, polynomial and multilayer perceptron approximations. These methods are compared with many examples of arteries of different percentage of the plaque occupancy in the iliac and femoral arteries. The numerical results of segmentation have been verified by the medical experts and prove its usefulness in medical practice. The presented system can find application in an automatic evaluation of the atherosclerosis progression/regression of patients on the basis of sequence of Computed Tomography slice images.

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