Denoising performance of modified dual-tree complex wavelet transform for processing quadrature embolic Doppler signals.
Quadrature signals are dual-channel signals obtained from the systems employing quadrature demodulation. Embolic Doppler ultrasound signals obtained from stroke-prone patients by using Doppler ultrasound systems are quadrature signals caused by emboli, which are particles bigger than red blood cells...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 52; no. 1; pp. 29 - 44 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jan2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104003919&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104003919 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jan2014 vid: 52 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104003919 NLM24048958 2012446587 10.1007/s11517-013-1114-x NLM24048958 104003919 ppf: 29 ppct: 15 formats: fmt: @attributes: type: P tig: atl: Denoising performance of modified dual-tree complex wavelet transform for processing quadrature embolic Doppler signals. aug: au: Serbes, Gorkem Aydin, Nizamettin affil: Biomedical Engineering Department, Bahcesehir University, Çiragan Caddesi, Osmanpasa Mektebi Sokak No: 4-6, 34353, Besiktas, Istanbul, Turkey, gorkem.serbes@bahcesehir.edu.tr. sug: subj: Image Processing, Computer Assisted Equipment and Supplies Image Processing, Computer Assisted Methods Signal Processing, Computer Assisted Equipment and Supplies Stroke Diagnosis Ultrasonography, Doppler, Duplex Equipment and Supplies Ultrasonography, Doppler, Duplex Methods Human Signal Processing, Computer Assisted ab: Quadrature signals are dual-channel signals obtained from the systems employing quadrature demodulation. Embolic Doppler ultrasound signals obtained from stroke-prone patients by using Doppler ultrasound systems are quadrature signals caused by emboli, which are particles bigger than red blood cells within circulatory system. Detection of emboli is an important step in diagnosing stroke. Most widely used parameter in detection of emboli is embolic signal-to-background signal ratio. Therefore, in order to increase this ratio, denoising techniques are employed in detection systems. Discrete wavelet transform has been used for denoising of embolic signals, but it lacks shift invariance property. Instead, dual-tree complex wavelet transform having near-shift invariance property can be used. However, it is computationally expensive as two wavelet trees are required. Recently proposed modified dual-tree complex wavelet transform, which reduces the computational complexity, can also be used. In this study, the denoising performance of this method is extensively evaluated and compared with the others by using simulated and real quadrature signals. The quantitative results demonstrated that the modified dual-tree-complex-wavelet-transform-based denoising outperforms the conventional discrete wavelet transform with the same level of computational complexity and exhibits almost equal performance to the dual-tree complex wavelet transform with almost half computational cost. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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