Hyperspectral Imaging for Clinical Applications

Measuring morphological and biochemical features of tissue is crucial for disease diagnosis and surgical guidance, providing clinically significant information related to pathophysiology. Hyperspectral imaging (HSI) techniques obtain both spatial and spectral features of tissue without labeling mole...

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Bibliographic Details
Published inBiochip journal Vol. 16; no. 1; pp. 1 - 12
Main Author Yoon, Jonghee
Format Journal Article
LanguageEnglish
Published Seoul The Korean BioChip Society (KBCS) 01.03.2022
Springer Nature B.V
한국바이오칩학회
Subjects
Biomedical Engineering and Bioengineering
Biotechnology
Cameras
Chemistry
Chemistry and Materials Science
Diagnosis
Fluorescent dyes
Fluorescent indicators
Hyperspectral imaging
Image analysis
Image processing
Light
Medical diagnosis
Medical imaging
Methods
Review Article
Therapeutic applications
Tomography
생물공학
Image analysis
Image-guided surgery
Clinical application
Tissue optics
Disease diagnosis
Hyperspectral imaging
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Summary:Measuring morphological and biochemical features of tissue is crucial for disease diagnosis and surgical guidance, providing clinically significant information related to pathophysiology. Hyperspectral imaging (HSI) techniques obtain both spatial and spectral features of tissue without labeling molecules such as fluorescent dyes, which provides rich information for improved disease diagnosis and treatment. Recent advances in HSI systems have demonstrated its potential for clinical applications, especially in disease diagnosis and image-guided surgery. This review summarizes the basic principle of HSI and optical systems, deep-learning-based image analysis, and clinical applications of HSI to provide insight into this rapidly growing field of research. In addition, the challenges facing the clinical implementation of HSI techniques are discussed.
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https://doi.org/10.1007/s13206-021-00041-0
ISSN:1976-0280
2092-7843
DOI:10.1007/s13206-021-00041-0