A dynamic generalized coherence factor for side lobe suppression in ultrasound imaging. (January 2020)
- Record Type:
- Journal Article
- Title:
- A dynamic generalized coherence factor for side lobe suppression in ultrasound imaging. (January 2020)
- Main Title:
- A dynamic generalized coherence factor for side lobe suppression in ultrasound imaging
- Authors:
- Wang, Yuanguo
Peng, Hu
Zheng, Chichao
Han, Zhihui
Qiao, Heyuan - Abstract:
- Abstract: Coherence-based weighting techniques have been widely studied to weight beamsummed data to improve image quality in ultrasound imaging. Although generalized coherence factor (GCF) enhances the robustness of coherence factor (CF) with preserved speckle pattern by including some incoherent components, the side lobe suppression performance is insufficient due to constant cut-off frequency M 0 . To address this problem, we introduced in this paper a dynamic GCF method, referred to as DGCF-C, based on the amplitude standard deviation and the convolution output of aperture data. The cut-off frequency is adaptively selected for GCF at each imaging point using the amplitude standard deviation of aperture data. Moreover, the convolution output of aperture data is used to calculate the dynamic GCF. The proposed method is evaluated in simulation and tissue-mimicking phantom studies. The image quality was analyzed in terms of resolution, contrast ratio (CR), generalized contrast-to-noise ratio (GCNR), speckle signal-to-noise ratio (sSNR), and signal-to-noise ratio (SNR). The results demonstrate that DGCF-C ( M m a x = 2 ) achieves mean resolution improvements of 35.1% in simulation, and 32.6% in experiment, compared with GCF ( M 0 = 1 ). Moreover, DGCF-C ( M m a x = 4 ) outperforms GCF ( M 0 = 2 ) with an average GCNR improvement of 13.5% and an average sSNR improvement of 15.2%, which indicates the better-preservation of speckle. Highlights: Dynamic cut-off frequency forAbstract: Coherence-based weighting techniques have been widely studied to weight beamsummed data to improve image quality in ultrasound imaging. Although generalized coherence factor (GCF) enhances the robustness of coherence factor (CF) with preserved speckle pattern by including some incoherent components, the side lobe suppression performance is insufficient due to constant cut-off frequency M 0 . To address this problem, we introduced in this paper a dynamic GCF method, referred to as DGCF-C, based on the amplitude standard deviation and the convolution output of aperture data. The cut-off frequency is adaptively selected for GCF at each imaging point using the amplitude standard deviation of aperture data. Moreover, the convolution output of aperture data is used to calculate the dynamic GCF. The proposed method is evaluated in simulation and tissue-mimicking phantom studies. The image quality was analyzed in terms of resolution, contrast ratio (CR), generalized contrast-to-noise ratio (GCNR), speckle signal-to-noise ratio (sSNR), and signal-to-noise ratio (SNR). The results demonstrate that DGCF-C ( M m a x = 2 ) achieves mean resolution improvements of 35.1% in simulation, and 32.6% in experiment, compared with GCF ( M 0 = 1 ). Moreover, DGCF-C ( M m a x = 4 ) outperforms GCF ( M 0 = 2 ) with an average GCNR improvement of 13.5% and an average sSNR improvement of 15.2%, which indicates the better-preservation of speckle. Highlights: Dynamic cut-off frequency for generalized coherence factor (GCF) is designed. A dynamic GCF using the convolution of aperture data is proposed. Dynamic GCF outperforms GCF in terms of resolution, contrast, and speckle quality. … (more)
- Is Part Of:
- Computers in biology and medicine. Volume 116(2020)
- Journal:
- Computers in biology and medicine
- Issue:
- Volume 116(2020)
- Issue Display:
- Volume 116, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 116
- Issue:
- 2020
- Issue Sort Value:
- 2020-0116-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- Ultrasound imaging -- Side lobe suppression -- Coherence factor -- Cut-off frequency -- Standard deviation -- Convolution
Medicine -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00104825/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiomed.2019.103522 ↗
- Languages:
- English
- ISSNs:
- 0010-4825
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.880000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23742.xml