Improving the Computational Complexity of Artificial Ultrasound Imaging Using a Combination of Independent Component Analysis and Adaptive Filter

Improving the Computational Complexity of Artificial Ultrasound Imaging Using a Combination of Independent Component Analysis and Adaptive Filter

Purpose: The artificial aperture imaging method owns a good contrast in the data recording and imaging process. However, this method is very time consuming that prevents its practical implementation. Materials and Methods: In this paper, the separated waveforms are sent by two elements together,...

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Bibliographic Details
Main Authors: Mohammad Fathi, Seyed Kamaledin Setarehdan, Fereidoon Nowshiravan Rahatabad, Nader Jafarnia Dabanloo
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2020-12-01
Series:Frontiers in Biomedical Technologies
Subjects:
Medical Ultrasound Imaging
Computational Complexity
Artificial Aperture Method
Independent Component Analysis
Adaptive Filter
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/279

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