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Vessel recovery using ultrasound localisation microscopy: An in silico comparative study between minimum variance and delay-and-sum beamformers.
Voulgaridou, Vasiliki; Nicolas, Barbara; McDougall, Steven; Arthur, Lachlan; Papageorgiou, Georgios; Butler, Mairead; Kanoulas, Evangelos; Diamantis, Konstantinos; Lu, Weiping; Sboros, Vassilis.
Afiliación
  • Voulgaridou V; Translational Healthcare Technologies Team, Centre for Inflammation Research, Queen's Medical Research Institute University of Edinburgh, United Kingdom.
  • Nicolas B; Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621 Lyon, France.
  • McDougall S; Institute of GeoEnergy Engineering Heriot Watt University Edinburgh, United Kingdom.
  • Arthur L; School of Engineering and Physical Sciences Heriot Watt University, Edinburgh, United Kingdom.
  • Papageorgiou G; School of Engineering and Physical Sciences Heriot Watt University, Edinburgh, United Kingdom.
  • Butler M; School of Engineering and Physical Sciences Heriot Watt University, Edinburgh, United Kingdom.
  • Kanoulas E; Janssen Pharmaceuticals R & D, High Wycombe, United Kingdom.
  • Diamantis K; Institute for Digital Communications University of Edinburgh, Edinburgh, United Kingdom.
  • Lu W; School of Engineering and Physical Sciences Heriot Watt University, Edinburgh, United Kingdom.
  • Sboros V; School of Engineering and Physical Sciences Heriot Watt University, Edinburgh, United Kingdom. Electronic address: V.Sboros@hw.ac.uk.
Ultrasonics ; 145: 107451, 2024 Aug 30.
Article en En | MEDLINE | ID: mdl-39276632
ABSTRACT
The use of particle localisation and tracking algorithms on Contrast Enhanced Ultrasound (CEUS) or other ultrasound mode image data containing sparse microbubble (MB) populations, can produce super-resolved vascularization maps. Typically such data stem from conventional delay and sum (DAS) beamforming that is used widely in ultrasound imaging modes. Recently, adaptive beamforming has shown significant improvement in spatial resolution, but its value to super-resolution image analysis approaches is not fully understood. The in silico study here evaluates the performance of combining minimum variance beamformers (MV BF), established to provide improved lateral resolution, compared to DAS BFs with single particle detection. The isolated effect of a range of simplified image-affecting factors such as flow profile, pulse length, noise, vessel separations and data availability is considered. The study aims to assess the vessel recovery performance using the different beamformers and investigate the link with MB detection and localisation. The MV BF was shown to provide improved microvessel position accuracy compared to conventional DAS BFs. In particular, vessel separations between 0.3-4 λ provided superior localisation uncertainty with the MV. In addition, for a separation of 0.36λ, vessel recovery was achieved with both methods but the use of MV eliminated artifacts that appear as additional vessels. These results were found to be linked to improved MB detection and localisation for the MV BF, which is proposed as suitable for testing in Ultrasound Localisation Microscopy (ULM) imaging using patient data.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ultrasonics Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido 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 Idioma: En Revista: Ultrasonics Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Países Bajos