Topical Review: Studies of Ocular Function and Disease Using Hyperspectral Imaging

James M. Beach, Madeeha Rizvi, Caitlin B. Lichtenfels, Robert Vince, Swati S More

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

SIGNIFICANCE Advances in imaging technology over the last two decades have produced significant innovations in medical imaging. Hyperspectral imaging (HSI) is one of these innovations, enabling powerful new imaging tools for clinical use and greater understanding of tissue optical properties and mechanisms underlying eye disease. Hyperspectral imaging is an important and rapidly growing area in medical imaging, making possible the concurrent collection of spectroscopic and spatial information that is usually obtained from separate optical recordings. In this review, we describe several mainstream techniques used in HSI, along with noteworthy advances in optical technology that enabled modern HSI techniques. Presented also are recent applications of HSI for basic and applied eye research, which include a novel method for assessing dry eye syndrome, clinical slit-lamp examination of corneal injury, measurement of blood oxygen saturation in retinal disease, molecular changes in macular degeneration, and detection of early stages of Alzheimer disease. The review also highlights work resulting from integration of HSI with other imaging tools such as optical coherence tomography and autofluorescence microscopy and discusses the adaptation of HSI for clinical work where eye motion is present. Here, we present the background and main findings from each of these reports along with specific references for additional details.

Original languageEnglish (US)
Pages (from-to)101-113
Number of pages13
JournalOptometry and Vision Science
Volume99
Issue number2
DOIs
StatePublished - Feb 1 2022

Bibliographical note

Publisher Copyright:
© Lippincott Williams & Wilkins.

Keywords

  • Humans
  • Hyperspectral Imaging
  • Spectrum Analysis
  • Tomography, Optical Coherence

PubMed: MeSH publication types

  • Journal Article
  • Review
  • Research Support, Non-U.S. Gov't

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