Literature DB >> 24997530

Characterization of burns using hyperspectral imaging technique - a preliminary study.

Mihaela Antonina Calin1, Sorin Viorel Parasca2, Roxana Savastru3, Dragos Manea4.   

Abstract

Surgical burn treatment depends on accurate estimation of burn depth. Many methods have been used to asses burns, but none has gained wide acceptance. Hyperspectral imaging technique has recently entered the medical research field with encouraging results. In this paper we present a preliminary study (case presentation) that aims to point out the value of this optical method in burn wound characterization and to set up future lines of investigation. A hyperspectral image of a leg and foot with partial thickness burns was obtained in the fifth postburn day. The image was analyzed using linear spectral unmixing model as a tool for mapping the investigated areas. The article gives details on the mathematical bases of the interpretation model and correlations with clinical examination pointing out the advantages of hyperspectral imaging technique. While the results were encouraging, further more extended and better founded studies are being prepared before recognizing hyperspectral imaging technique as an applicable method of burn wound assessment.
Copyright © 2014 Elsevier Ltd and ISBI. All rights reserved.

Keywords:  Burn depth; Hyperspectral imaging technique; Linear spectral unmixing; Principal component analysis

Mesh:

Year:  2014        PMID: 24997530     DOI: 10.1016/j.burns.2014.05.002

Source DB:  PubMed          Journal:  Burns        ISSN: 0305-4179            Impact factor:   2.744


  14 in total

1.  Hyperspectral index-based metric for burn depth assessment.

Authors:  Sorin Viorel Parasca; Mihaela Antonina Calin; Dragos Manea; Sorin Miclos; Roxana Savastru
Journal:  Biomed Opt Express       Date:  2018-10-26       Impact factor: 3.732

Review 2.  Critical Review of Noninvasive Optical Technologies for Wound Imaging.

Authors:  Maanasa Jayachandran; Suset Rodriguez; Elizabeth Solis; Jiali Lei; Anuradha Godavarty
Journal:  Adv Wound Care (New Rochelle)       Date:  2016-08-01       Impact factor: 4.730

Review 3.  Imaging Techniques for Clinical Burn Assessment with a Focus on Multispectral Imaging.

Authors:  Jeffrey E Thatcher; John J Squiers; Stephen C Kanick; Darlene R King; Yang Lu; Yulin Wang; Rachit Mohan; Eric W Sellke; J Michael DiMaio
Journal:  Adv Wound Care (New Rochelle)       Date:  2016-08-01       Impact factor: 4.730

4.  In vivo evaluation of adipose- and muscle-derived stem cells as a treatment for nonhealing diabetic wounds using multimodal microscopy.

Authors:  Joanne Li; Yair Pincu; Marina Marjanovic; Andrew J Bower; Eric J Chaney; Tor Jensen; Marni D Boppart; Stephen A Boppart
Journal:  J Biomed Opt       Date:  2016-08-01       Impact factor: 3.170

5.  Evaluating clinical observation versus Spatial Frequency Domain Imaging (SFDI), Laser Speckle Imaging (LSI) and thermal imaging for the assessment of burn depth.

Authors:  Adrien Ponticorvo; Rebecca Rowland; Melissa Baldado; David M Burmeister; Robert J Christy; Nicole P Bernal; Anthony J Durkin
Journal:  Burns       Date:  2018-10-14       Impact factor: 2.744

6.  Optical coherence tomography correlates multiple measures of tissue damage following acute burn injury.

Authors:  Anthony J Deegan; Samuel P Mandell; Ruikang K Wang
Journal:  Quant Imaging Med Surg       Date:  2019-05

Review 7.  Advanced Wound Diagnostics: Toward Transforming Wound Care into Precision Medicine.

Authors:  Maximillian A Weigelt; Hadar A Lev-Tov; Marjana Tomic-Canic; W David Lee; Ryan Williams; David Strasfeld; Robert S Kirsner; Ira M Herman
Journal:  Adv Wound Care (New Rochelle)       Date:  2021-07-21       Impact factor: 4.730

8.  Hyperspectral Imagery Super-Resolution by Adaptive POCS and Blur Metric.

Authors:  Shaoxing Hu; Shuyu Zhang; Aiwu Zhang; Shatuo Chai
Journal:  Sensors (Basel)       Date:  2017-01-03       Impact factor: 3.576

9.  Hyperspectral Image Enhancement and Mixture Deep-Learning Classification of Corneal Epithelium Injuries.

Authors:  Siti Salwa Md Noor; Kaleena Michael; Stephen Marshall; Jinchang Ren
Journal:  Sensors (Basel)       Date:  2017-11-16       Impact factor: 3.576

10.  Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer Detection.

Authors:  Bianca Regeling; Boris Thies; Andreas O H Gerstner; Stephan Westermann; Nina A Müller; Jörg Bendix; Wiebke Laffers
Journal:  Sensors (Basel)       Date:  2016-08-13       Impact factor: 3.576

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