Staff View: The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019.

The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019.

Introduction: This publication is the product of research developed within the research lines of the Smart Sensing, Signal Processing, and Applications (3SPA) research group throughout 2018, which supports the work of a doctor’s degree at VNU University of Engineering & Technology, V...

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Main Author:	Duc-Tan Tran
Other Authors:	Tran Quang Huy
Published:	2019
Online Access:	https://dlib.phenikaa-uni.edu.vn/handle/PNK/225 https://doi.org/10.16925/2357-6014.2019.03.08
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spelling	oai:localhost:PNK-2252022-08-17T05:54:40Z The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019. Duc-Tan Tran Tran Quang Huy Van Dung Nguyen Introduction: This publication is the product of research developed within the research lines of the Smart Sensing, Signal Processing, and Applications (3SPA) research group throughout 2018, which supports the work of a doctor’s degree at VNU University of Engineering & Technology, Vietnam. Problem: The limitations of diagnostic ultrasound techniques using echo information has motivated the study of new imaging models in order to create additional quantitative ultrasound information in multi-model imaging devices. A promising solution is to use image sound contrast because it is capable of detecting changes in diseased tissue structures. Ultrasound tomography shows speed-of-sound changes in the propagation medium of sound waves. This technique is primarily used for imaging cancer-causing cells in womens’ breasts. The Distorted Born Iterative Method (DBIM), based on the first-order Born approximation, is an efficient diffraction tomography approach. The compressed sensing technique is utilized for DBIM to obtain the high-quality ultrasound image, although the image reconstruction process is quite long. Objective: The objective of the research is to propose an combined method for the efficient ultrasound tomography. Methodology: In this paper, we proposed an approach to enhance the imaging quality and to reduce the imaging time by applying the compressed sensing technique along with the multi-resolution technique for the DBIM. Results: The simulation results indicate that the imaging time is reduced by 33% and the imaging quality is improved by 83%. Conclusion: This project seeks to propose an improvement in ultrasound tomography. The simulated results confirmed the realibility of the propsed method. Originality: Through this research, a combined method of compressed sensing and multiple resolution are formulated for the first time in ultrasound tomography. Limitations: The lack of experiments to confirm the proposed method. 2019 2020-04-29T07:52:15Z 2020-04-29T07:52:15Z bccb00159 https://dlib.phenikaa-uni.edu.vn/handle/PNK/225 https://doi.org/10.16925/2357-6014.2019.03.08 application/pdf
institution	Digital Phenikaa
collection	Digital Phenikaa
description	Introduction: This publication is the product of research developed within the research lines of the Smart Sensing, Signal Processing, and Applications (3SPA) research group throughout 2018, which supports the work of a doctor’s degree at VNU University of Engineering & Technology, Vietnam. Problem: The limitations of diagnostic ultrasound techniques using echo information has motivated the study of new imaging models in order to create additional quantitative ultrasound information in multi-model imaging devices. A promising solution is to use image sound contrast because it is capable of detecting changes in diseased tissue structures. Ultrasound tomography shows speed-of-sound changes in the propagation medium of sound waves. This technique is primarily used for imaging cancer-causing cells in womens’ breasts. The Distorted Born Iterative Method (DBIM), based on the first-order Born approximation, is an efficient diffraction tomography approach. The compressed sensing technique is utilized for DBIM to obtain the high-quality ultrasound image, although the image reconstruction process is quite long. Objective: The objective of the research is to propose an combined method for the efficient ultrasound tomography. Methodology: In this paper, we proposed an approach to enhance the imaging quality and to reduce the imaging time by applying the compressed sensing technique along with the multi-resolution technique for the DBIM. Results: The simulation results indicate that the imaging time is reduced by 33% and the imaging quality is improved by 83%. Conclusion: This project seeks to propose an improvement in ultrasound tomography. The simulated results confirmed the realibility of the propsed method. Originality: Through this research, a combined method of compressed sensing and multiple resolution are formulated for the first time in ultrasound tomography. Limitations: The lack of experiments to confirm the proposed method.
author2	Tran Quang Huy
author_facet	Tran Quang Huy Duc-Tan Tran
author	Duc-Tan Tran
spellingShingle	Duc-Tan Tran The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019.
author_sort	Duc-Tan Tran
title	The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019.
title_short	The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019.
title_full	The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019.
title_fullStr	The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019.
title_full_unstemmed	The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019.
title_sort	efficiency of applying compressed sampling and multi-resolution into ultrasound tomography, ingenieria solidaria, issn e-issn: 2357-6014, vol. 15, no. 29, sep.2019.
publishDate	2019
url	https://dlib.phenikaa-uni.edu.vn/handle/PNK/225 https://doi.org/10.16925/2357-6014.2019.03.08
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score	8.891053

The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography, Ingenieria Solidaria, ISSN E-ISSN: 2357-6014, vol. 15, no. 29, Sep.2019.

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