Doppler Ultrason İşaretlerinde Artifaktlarin Giderilmesi İçin Rezonans Temelli Ön-işleme Yöntemi

Gorkem Serbes; Nizamettin Aydin

doi:10.1109/SIU.2017.7960394

Doppler Ultrason İşaretlerinde Artifaktlarin Giderilmesi İçin Rezonans Temelli Ön-işleme Yöntemi

Translated title of the contribution: Resonance based pre-processing method for eliminating artifacts in Doppler ultrasound signals

Gorkem Serbes^*
, Nizamettin Aydin

^*Corresponding author for this work

Yildiz Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Transcranial Doppler ultrasound has been successfully used in the evaluation of cerebrovascular pathologies such as stroke which is a very critical condition. Special micro-embolic signals, which are caused by the clots that can block blood vessels in brain, show themselves as an increase in reflected Doppler energy and can be used as the early indicator of stroke. Fourier Transform and wavelet transform, which are the classical frequency based linear decomposition methods, cannot totally separate micro-embolic signals from other high intensity signals like artifact and Doppler speckle. Therefore, in this study, a new non-linear resonance based decomposition method is proposed for eliminating artifact signals in Doppler ultrasound signals. The results indicate that with the proposed method micro-embolic signals can be successfully extracted and high intensity artifacts can be separated even if in high noise conditions.

Translated title of the contribution	Resonance based pre-processing method for eliminating artifacts in Doppler ultrasound signals
Original language	Turkish
Title of host publication	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509064946
DOIs	https://doi.org/10.1109/SIU.2017.7960394
Publication status	Published - 27 Jun 2017
Externally published	Yes
Event	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017

Publication series

Name	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

Conference

Conference	25th Signal Processing and Communications Applications Conference, SIU 2017
Country/Territory	Turkey
City	Antalya
Period	15/05/17 → 18/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/SIU.2017.7960394

Cite this

Serbes, G., & Aydin, N. (2017). Doppler Ultrason İşaretlerinde Artifaktlarin Giderilmesi İçin Rezonans Temelli Ön-işleme Yöntemi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Article 7960394 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960394

Serbes, Gorkem ; Aydin, Nizamettin. / Doppler Ultrason İşaretlerinde Artifaktlarin Giderilmesi İçin Rezonans Temelli Ön-işleme Yöntemi. 2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

@inproceedings{ecd2772989ee4dac831806b611eaf04c,

title = "Doppler Ultrason İ{\c s}aretlerinde Artifaktlarin Giderilmesi İ{\c c}in Rezonans Temelli {\"O}n-i{\c s}leme Y{\"o}ntemi",

abstract = "Transcranial Doppler ultrasound has been successfully used in the evaluation of cerebrovascular pathologies such as stroke which is a very critical condition. Special micro-embolic signals, which are caused by the clots that can block blood vessels in brain, show themselves as an increase in reflected Doppler energy and can be used as the early indicator of stroke. Fourier Transform and wavelet transform, which are the classical frequency based linear decomposition methods, cannot totally separate micro-embolic signals from other high intensity signals like artifact and Doppler speckle. Therefore, in this study, a new non-linear resonance based decomposition method is proposed for eliminating artifact signals in Doppler ultrasound signals. The results indicate that with the proposed method micro-embolic signals can be successfully extracted and high intensity artifacts can be separated even if in high noise conditions.",

keywords = "Q-factor, Transcranial Doppler ultrasound, artifacts, embolic signals, resonance, wavelet transform",

author = "Gorkem Serbes and Nizamettin Aydin",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",

year = "2017",

month = jun,

day = "27",

doi = "10.1109/SIU.2017.7960394",

language = "T{\"u}rk{\c c}e",

series = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

address = "United States",

}

Serbes, G & Aydin, N 2017, Doppler Ultrason İşaretlerinde Artifaktlarin Giderilmesi İçin Rezonans Temelli Ön-işleme Yöntemi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960394, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 15/05/17. https://doi.org/10.1109/SIU.2017.7960394

Doppler Ultrason İşaretlerinde Artifaktlarin Giderilmesi İçin Rezonans Temelli Ön-işleme Yöntemi. / Serbes, Gorkem; Aydin, Nizamettin.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960394 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Doppler Ultrason İşaretlerinde Artifaktlarin Giderilmesi İçin Rezonans Temelli Ön-işleme Yöntemi

AU - Serbes, Gorkem

AU - Aydin, Nizamettin

PY - 2017/6/27

Y1 - 2017/6/27

N2 - Transcranial Doppler ultrasound has been successfully used in the evaluation of cerebrovascular pathologies such as stroke which is a very critical condition. Special micro-embolic signals, which are caused by the clots that can block blood vessels in brain, show themselves as an increase in reflected Doppler energy and can be used as the early indicator of stroke. Fourier Transform and wavelet transform, which are the classical frequency based linear decomposition methods, cannot totally separate micro-embolic signals from other high intensity signals like artifact and Doppler speckle. Therefore, in this study, a new non-linear resonance based decomposition method is proposed for eliminating artifact signals in Doppler ultrasound signals. The results indicate that with the proposed method micro-embolic signals can be successfully extracted and high intensity artifacts can be separated even if in high noise conditions.

AB - Transcranial Doppler ultrasound has been successfully used in the evaluation of cerebrovascular pathologies such as stroke which is a very critical condition. Special micro-embolic signals, which are caused by the clots that can block blood vessels in brain, show themselves as an increase in reflected Doppler energy and can be used as the early indicator of stroke. Fourier Transform and wavelet transform, which are the classical frequency based linear decomposition methods, cannot totally separate micro-embolic signals from other high intensity signals like artifact and Doppler speckle. Therefore, in this study, a new non-linear resonance based decomposition method is proposed for eliminating artifact signals in Doppler ultrasound signals. The results indicate that with the proposed method micro-embolic signals can be successfully extracted and high intensity artifacts can be separated even if in high noise conditions.

KW - Q-factor

KW - Transcranial Doppler ultrasound

KW - artifacts

KW - embolic signals

KW - resonance

KW - wavelet transform

UR - https://www.scopus.com/pages/publications/85026300892

U2 - 10.1109/SIU.2017.7960394

DO - 10.1109/SIU.2017.7960394

M3 - Konferans katkısı

AN - SCOPUS:85026300892

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

ER -

Serbes G, Aydin N. Doppler Ultrason İşaretlerinde Artifaktlarin Giderilmesi İçin Rezonans Temelli Ön-işleme Yöntemi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7960394. (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). doi: 10.1109/SIU.2017.7960394

Doppler Ultrason İşaretlerinde Artifaktlarin Giderilmesi İçin Rezonans Temelli Ön-işleme Yöntemi

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this