Articles producció científica> Química Física i Inorgànica

Deep learning: step forward to high-resolution in vivo shortwave infrared imaging

  • Datos identificativos

    Identificador: imarina:9216303
    Autores:
    Baulin, Vladimir A.Usson, YvesLe Guevel, Xavier
    Resumen:
    Shortwave infrared window (SWIR: 1000-1700 nm) represents a major improvement compared to the NIR-I region (700-900 nm) in terms of temporal and spatial resolutions in depths down to 4 mm. SWIR is a fast and cheap alternative to more precise methods such as X-ray and opto-acoustic imaging. Main obstacles in SWIR imaging are the noise and scattering from tissues and skin that reduce the precision of the method. We demonstrate that the combination of SWIR in vivo imaging in the NIR-IIb region (1500-1700 nm) with advanced deep learning image analysis allows to overcome these obstacles and making a large step forward to high resolution imaging: it allows to precisely segment vessels from tissues and noise, provides morphological structure of the vessels network, with learned pseudo-3D shape, their relative position, dynamic information of blood vascularization in depth in small animals and distinguish the vessels types: artieries and veins. For demonstration we use neural network IterNet that exploits structural redundancy of the blood vessels, which provides a useful analysis tool for raw SWIR images.
  • Otros:

    Autor según el artículo: Baulin, Vladimir A.; Usson, Yves; Le Guevel, Xavier;
    Departamento: Química Física i Inorgànica
    Autor/es de la URV: Baulin, Vladimir
    Palabras clave: Tissue Thermography (imaging) Temporal and spatial Swir Structural redundancy Shortwave infrared imaging Short wave infrared Relative positions Radiofrequency radiation Radio waves Neural networks, computer Morphological structures Microvessels Infrared rays Infrared radiation Infrared devices Images Image segmentation Image analysis Histology High-resolution imaging Fluorescence Dynamic information Deep learning Blood vessels Blood Animals Animal swir microvessels fluorescence
    Resumen: Shortwave infrared window (SWIR: 1000-1700 nm) represents a major improvement compared to the NIR-I region (700-900 nm) in terms of temporal and spatial resolutions in depths down to 4 mm. SWIR is a fast and cheap alternative to more precise methods such as X-ray and opto-acoustic imaging. Main obstacles in SWIR imaging are the noise and scattering from tissues and skin that reduce the precision of the method. We demonstrate that the combination of SWIR in vivo imaging in the NIR-IIb region (1500-1700 nm) with advanced deep learning image analysis allows to overcome these obstacles and making a large step forward to high resolution imaging: it allows to precisely segment vessels from tissues and noise, provides morphological structure of the vessels network, with learned pseudo-3D shape, their relative position, dynamic information of blood vascularization in depth in small animals and distinguish the vessels types: artieries and veins. For demonstration we use neural network IterNet that exploits structural redundancy of the blood vessels, which provides a useful analysis tool for raw SWIR images.
    Áreas temáticas: Química Physics and astronomy (miscellaneous) Physics and astronomy (all) Optics Odontología Medicina veterinaria Medicina iii Medicina ii Medicina i Materials science (miscellaneous) Materials science (all) Materiais Interdisciplinar General physics and astronomy General materials science General engineering General chemistry General biochemistry,genetics and molecular biology Farmacia Engineering (miscellaneous) Engineering (all) Engenharias iv Engenharias ii Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Chemistry (miscellaneous) Chemistry (all) Biotecnología Biophysics Biochemistry, genetics and molecular biology (miscellaneous) Biochemistry, genetics and molecular biology (all) Biochemical research methods Astronomia / física
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: vladimir.baulin@urv.cat
    Identificador del autor: 0000-0003-2086-4271
    Fecha de alta del registro: 2024-07-27
    Volumen de revista: 14
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://onlinelibrary.wiley.com/doi/10.1002/jbio.202100102
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Journal Of Biophotonics. 14 (e202100102):
    Referencia de l'ítem segons les normes APA: Baulin, Vladimir A.; Usson, Yves; Le Guevel, Xavier; (2021). Deep learning: step forward to high-resolution in vivo shortwave infrared imaging. Journal Of Biophotonics, 14(e202100102), -. DOI: 10.1002/jbio.202100102
    DOI del artículo: 10.1002/jbio.202100102
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2021
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Biochemical Research Methods,Biochemistry, Genetics and Molecular Biology (Miscellaneous),Biophysics,Chemistry (Miscellaneous),Engineering (Miscellaneous),Materials Science (Miscellaneous),Optics,Physics and Astronomy (Miscellaneous)
    Tissue
    Thermography (imaging)
    Temporal and spatial
    Swir
    Structural redundancy
    Shortwave infrared imaging
    Short wave infrared
    Relative positions
    Radiofrequency radiation
    Radio waves
    Neural networks, computer
    Morphological structures
    Microvessels
    Infrared rays
    Infrared radiation
    Infrared devices
    Images
    Image segmentation
    Image analysis
    Histology
    High-resolution imaging
    Fluorescence
    Dynamic information
    Deep learning
    Blood vessels
    Blood
    Animals
    Animal
    swir
    microvessels
    fluorescence
    Química
    Physics and astronomy (miscellaneous)
    Physics and astronomy (all)
    Optics
    Odontología
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materials science (miscellaneous)
    Materials science (all)
    Materiais
    Interdisciplinar
    General physics and astronomy
    General materials science
    General engineering
    General chemistry
    General biochemistry,genetics and molecular biology
    Farmacia
    Engineering (miscellaneous)
    Engineering (all)
    Engenharias iv
    Engenharias ii
    Educação física
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Chemistry (miscellaneous)
    Chemistry (all)
    Biotecnología
    Biophysics
    Biochemistry, genetics and molecular biology (miscellaneous)
    Biochemistry, genetics and molecular biology (all)
    Biochemical research methods
    Astronomia / física
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