Clutter Mitigation in Echocardiography Using Sparse Signal Separation
Joint Authors
Turek, Javier S.
Yavneh, Irad
Elad, Michael
Source
International Journal of Biomedical Imaging
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-24
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
In ultrasound imaging, clutter artifacts degrade images and may cause inaccuratediagnosis.
In this paper, we apply a method called Morphological Component Analysis (MCA) for sparse signal separation with the objective of reducing such clutter artifacts.
The MCA approach assumes that the two signals in the additive mix have each asparse representation under some dictionary of atoms (a matrix), and separation is achieved by finding these sparse representations.
In our work, an adaptive approach is used for learning the dictionary from the echo data.
MCA is compared to Singular Value Filtering (SVF), a Principal Component Analysis- (PCA-) based filtering technique, and to a high-pass Finite Impulse Response (FIR) filter.
Each filter is applied to a simulated hypoechoic lesion sequence, as well as experimental cardiac ultrasound data.
MCA is demonstrated in both cases to outperform the FIR filter and obtain results comparable to the SVF method in terms of contrast-to-noise ratio (CNR).
Furthermore, MCA shows a lower impact on tissue sections while removing the clutter artifacts.
Inexperimental heart data, MCA obtains in our experiments clutter mitigation with an average CNR improvement of 1.33 dB.
American Psychological Association (APA)
Turek, Javier S.& Elad, Michael& Yavneh, Irad. 2015. Clutter Mitigation in Echocardiography Using Sparse Signal Separation. International Journal of Biomedical Imaging،Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1065288
Modern Language Association (MLA)
Turek, Javier S.…[et al.]. Clutter Mitigation in Echocardiography Using Sparse Signal Separation. International Journal of Biomedical Imaging No. 2015 (2015), pp.1-18.
https://search.emarefa.net/detail/BIM-1065288
American Medical Association (AMA)
Turek, Javier S.& Elad, Michael& Yavneh, Irad. Clutter Mitigation in Echocardiography Using Sparse Signal Separation. International Journal of Biomedical Imaging. 2015. Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1065288
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1065288