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Thermal mapping the eye: A critical review of advances in infrared imaging for disease detection.

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Title: Thermal mapping the eye: A critical review of advances in infrared imaging for disease detection.
Authors: Persiya, J.1 (AUTHOR) persiya.j2022@vitstudent.ac.in, Sasithradevi, A.1,2 (AUTHOR) sasithradevi.a@vit.ac.in
Source: Journal of Thermal Biology. Apr2024, Vol. 121, pN.PAG-N.PAG. 1p.
Subjects: Infrared imaging, Machine learning, Deep learning, Infrared cameras, Tonometers, Infrared radiation, Eye tracking, Thermography
Abstract: Infrared thermography (IRT) has become more accessible due to technological advancements, making thermal cameras more affordable. Infrared thermal cameras capture the infrared rays emitted by objects and convert it into temperature representations. IRT has emerged as a promising and non-invasive approach for examining the human eye. Ocular surface temperature assessment based on IRT is vital for the diagnosis and monitoring of various eye conditions like dry eye, diabetic retinopathy, glaucoma, allergic conjunctivitis, and inflammatory diseases. A collective sum of 192 articles was sourced from various databases, and through adherence to the PRISMA guidelines, 29 articles were ultimately chosen for systematic analysis. This systematic review article seeks to provide readers with a thorough understanding of IRT's applications, advantages, limitations, and recent developments in the context of eye examinations. It covers various aspects of IRT-based eye analysis, including image acquisition, processing techniques, ocular surface temperature measurement, three different approaches to identifying abnormalities, and different evaluation metrics used. Our review also delves into recent advancements, particularly the integration of machine learning and deep learning algorithms into IRT-based eye examinations. Our systematic review not only sheds light on the current state of research but also outlines promising future prospects for the integration of infrared thermography in advancing eye health diagnostics and care. • Taxonomy of thermal vision-based eye disease diagnosing approaches : statistical, machine learning, deep learning. • Insights on approaches, reported metrics, research gaps. • Evaluation on tSVirTherm dataset. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Thermal Biology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Thermal mapping the eye: A critical review of advances in infrared imaging for disease detection.
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  Data: <searchLink fieldCode="AR" term="%22Persiya%2C+J%2E%22">Persiya, J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> persiya.j2022@vitstudent.ac.in</i><br /><searchLink fieldCode="AR" term="%22Sasithradevi%2C+A%2E%22">Sasithradevi, A.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> sasithradevi.a@vit.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Thermal+Biology%22">Journal of Thermal Biology</searchLink>. Apr2024, Vol. 121, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Infrared+imaging%22">Infrared imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Deep+learning%22">Deep learning</searchLink><br /><searchLink fieldCode="DE" term="%22Infrared+cameras%22">Infrared cameras</searchLink><br /><searchLink fieldCode="DE" term="%22Tonometers%22">Tonometers</searchLink><br /><searchLink fieldCode="DE" term="%22Infrared+radiation%22">Infrared radiation</searchLink><br /><searchLink fieldCode="DE" term="%22Eye+tracking%22">Eye tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Thermography%22">Thermography</searchLink>
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  Label: Abstract
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  Data: Infrared thermography (IRT) has become more accessible due to technological advancements, making thermal cameras more affordable. Infrared thermal cameras capture the infrared rays emitted by objects and convert it into temperature representations. IRT has emerged as a promising and non-invasive approach for examining the human eye. Ocular surface temperature assessment based on IRT is vital for the diagnosis and monitoring of various eye conditions like dry eye, diabetic retinopathy, glaucoma, allergic conjunctivitis, and inflammatory diseases. A collective sum of 192 articles was sourced from various databases, and through adherence to the PRISMA guidelines, 29 articles were ultimately chosen for systematic analysis. This systematic review article seeks to provide readers with a thorough understanding of IRT's applications, advantages, limitations, and recent developments in the context of eye examinations. It covers various aspects of IRT-based eye analysis, including image acquisition, processing techniques, ocular surface temperature measurement, three different approaches to identifying abnormalities, and different evaluation metrics used. Our review also delves into recent advancements, particularly the integration of machine learning and deep learning algorithms into IRT-based eye examinations. Our systematic review not only sheds light on the current state of research but also outlines promising future prospects for the integration of infrared thermography in advancing eye health diagnostics and care. • Taxonomy of thermal vision-based eye disease diagnosing approaches : statistical, machine learning, deep learning. • Insights on approaches, reported metrics, research gaps. • Evaluation on tSVirTherm dataset. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Thermal Biology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.jtherbio.2024.103867
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Infrared imaging
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Deep learning
        Type: general
      – SubjectFull: Infrared cameras
        Type: general
      – SubjectFull: Tonometers
        Type: general
      – SubjectFull: Infrared radiation
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      – SubjectFull: Eye tracking
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      – SubjectFull: Thermography
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      – TitleFull: Thermal mapping the eye: A critical review of advances in infrared imaging for disease detection.
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            NameFull: Persiya, J.
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              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
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