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A comprehensive overview of diffuse correlation spectroscopy: Theoretical framework, recent advances in hardware, analysis, and applications.
Wang, Quan; Pan, Mingliang; Kreiss, Lucas; Samaei, Saeed; Carp, Stefan A; Johansson, Johannes D; Zhang, Yuanzhe; Wu, Melissa; Horstmeyer, Roarke; Diop, Mamadou; Li, David Day-Uei.
Afiliación
  • Wang Q; Department of Biomedical Engineering, Faculty of Engineering, University of Strathclyde, Glasgow, United Kingdom.
  • Pan M; Department of Biomedical Engineering, Faculty of Engineering, University of Strathclyde, Glasgow, United Kingdom.
  • Kreiss L; Department of Biomedical Engineering, Duke University, Durham, NC, United States.
  • Samaei S; Department of Medical and Biophysics, Schulich School of Medical & Dentistry, Western University, London, Ontario, Canada; Lawson Health Research Institute, Imaging Program, London, Ontario, Canada.
  • Carp SA; Massachusetts General Hospital, Optics at Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, United States.
  • Johansson JD; Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
  • Zhang Y; Department of Biomedical Engineering, Faculty of Engineering, University of Strathclyde, Glasgow, United Kingdom.
  • Wu M; Department of Biomedical Engineering, Duke University, Durham, NC, United States.
  • Horstmeyer R; Department of Biomedical Engineering, Duke University, Durham, NC, United States.
  • Diop M; Department of Medical and Biophysics, Schulich School of Medical & Dentistry, Western University, London, Ontario, Canada; Lawson Health Research Institute, Imaging Program, London, Ontario, Canada.
  • Li DD; Department of Biomedical Engineering, Faculty of Engineering, University of Strathclyde, Glasgow, United Kingdom. Electronic address: David.Li@strath.ac.uk.
Neuroimage ; 298: 120793, 2024 Sep.
Article en En | MEDLINE | ID: mdl-39153520
ABSTRACT
Diffuse correlation spectroscopy (DCS) is a powerful tool for assessing microvascular hemodynamic in deep tissues. Recent advances in sensors, lasers, and deep learning have further boosted the development of new DCS methods. However, newcomers might feel overwhelmed, not only by the already-complex DCS theoretical framework but also by the broad range of component options and system architectures. To facilitate new entry to this exciting field, we present a comprehensive review of DCS hardware architectures (continuous-wave, frequency-domain, and time-domain) and summarize corresponding theoretical models. Further, we discuss new applications of highly integrated silicon single-photon avalanche diode (SPAD) sensors in DCS, compare SPADs with existing sensors, and review other components (lasers, sensors, and correlators), as well as data analysis tools, including deep learning. Potential applications in medical diagnosis are discussed and an outlook for the future directions is provided, to offer effective guidance to embark on DCS research.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Espectral Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Espectral Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos