Your browser doesn't support javascript.
loading
An adaptive beamformer based on dynamic phase coherence factor for pixel-based medical ultrasound imaging.
Wang, Yadan; Zheng, Chichao; Wang, Yuanguo; Feng, Shuai; Liu, Mingzhou; Peng, Hu.
Afiliación
  • Wang Y; School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui, China.
  • Zheng C; Department of Biomedical Engineering, Hefei University of Technology, Hefei, Anhui, China.
  • Wang Y; Department of Biomedical Engineering, Hefei University of Technology, Hefei, Anhui, China.
  • Feng S; Materials and Facilities Service Division, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
  • Liu M; School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui, China.
  • Peng H; Department of Biomedical Engineering, Hefei University of Technology, Hefei, Anhui, China.
Technol Health Care ; 31(2): 747-770, 2023.
Article en En | MEDLINE | ID: mdl-36314178
BACKGROUND: Pixel-based beamforming realizes dynamic focusing at the pixel level with a focused beam by assuming that the received signals are composed of spherical pulses. Far-focused pixel-based (FPB) imaging was proposed to avoid artifacts around the focal depth. However, the contrast improvement is limited. OBJECTIVE: We propose an adaptive weighting method based on dynamic phase coherence factor (DPCF) to improve the image contrast while preserving the speckle pattern. METHODS: The phase variation is dynamically estimated based on the noise energy proportion of echo signals and it is used to calculate phase coherence weights for suppressing interference and preserving desired signals. A depth-dependent parameter is designed for DPCF to enhance the performance of noise and clutter suppression in the far-field region. We further use the subarray averaging technique to smooth the speckle texture. RESULTS: The proposed method was evaluated on simulated, phantom experimental, and in vivo data. Results show that, compared with the phase coherence factor (PCF) based method, DPCF respectively leads to average CR improvements by more than 60% and 24% in simulation and experiment, while obtaining an improved speckle signal-to-noise ratio. CONCLUSIONS: The proposed method is a potentially valuable approach to obtaining high-quality ultrasound images in clinical applications.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador Límite: Humans Idioma: En Revista: Technol Health Care Asunto de la revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador Límite: Humans Idioma: En Revista: Technol Health Care Asunto de la revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos