Literature DB >> 28253387

Smartphone snapshot mapping of skin chromophores under triple-wavelength laser illumination.

Janis Spigulis1, Ilze Oshina1, Anna Berzina1, Alexander Bykov2.   

Abstract

Chromophore distribution maps are useful tools for skin malformation severity assessment and for monitoring of skin recovery after burns, surgeries, and other interactions. The chromophore maps can be obtained by processing several spectral images of skin, e.g., captured by hyperspectral or multispectral cameras during seconds or even minutes. To avoid motion artifacts and simplify the procedure, a single-snapshot technique for mapping melanin, oxyhemoglobin, and deoxyhemoglobin of in-vivo skin by a smartphone under simultaneous three-wavelength (448–532–659 nm) laser illumination is proposed and examined. Three monochromatic spectral images related to the illumination wavelengths were extracted from the smartphone camera RGB image data set with respect to crosstalk between the RGB detection bands. Spectral images were further processed accordingly to Beer’s law in a three chromophore approximation. Photon absorption path lengths in skin at the exploited wavelengths were estimated by means of Monte Carlo simulations. The technique was validated clinically on three kinds of skin lesions: nevi, hemangiomas, and seborrheic keratosis. Design of the developed add-on laser illumination system, image-processing details, and the results of clinical measurements are presented and discussed.

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Year:  2017        PMID: 28253387     DOI: 10.1117/1.JBO.22.9.091508

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  7 in total

1.  Data-driven imaging of tissue inflammation using RGB-based hyperspectral reconstruction toward personal monitoring of dermatologic health.

Authors:  Taehoon Kim; Michelle A Visbal-Onufrak; Raymond L Konger; Young L Kim
Journal:  Biomed Opt Express       Date:  2017-10-26       Impact factor: 3.732

2.  Analysis of skin morphological features and real-time monitoring using snapshot hyperspectral imaging.

Authors:  Qinghua He; Ruikang K Wang
Journal:  Biomed Opt Express       Date:  2019-10-10       Impact factor: 3.732

Review 3.  Multispectral, Fluorescent and Photoplethysmographic Imaging for Remote Skin Assessment.

Authors:  Janis Spigulis
Journal:  Sensors (Basel)       Date:  2017-05-19       Impact factor: 3.576

4.  Point-of-care, multispectral, smartphone-based dermascopes for dermal lesion screening and erythema monitoring.

Authors:  Ross Uthoff; Bofan Song; Melody Maarouf; Vivian Shi; Rongguang Liang
Journal:  J Biomed Opt       Date:  2020-06       Impact factor: 3.170

5.  An Evaluation Framework for Spectral Filter Array Cameras to Optimize Skin Diagnosis.

Authors:  Jacob Renzo Bauer; Jean-Baptiste Thomas; Jon Yngve Hardeberg; Rudolf M Verdaasdonk
Journal:  Sensors (Basel)       Date:  2019-11-05       Impact factor: 3.576

6.  Skin chromophore mapping by smartphone RGB camera under spectral band and spectral line illumination.

Authors:  Ilona Kuzmina; Ilze Oshina; Laura Dambite; Vanesa Lukinsone; Anna Maslobojeva; Anna Berzina; Janis Spigulis
Journal:  J Biomed Opt       Date:  2022-02       Impact factor: 3.758

7.  Three-dimensional representation of triple spectral line imaging data as an option for noncontact skin diagnostics.

Authors:  Ilze Ošina; Janis Spigulis; Ilona Kuzmina; Laura Dambite; Anna Berzina
Journal:  J Biomed Opt       Date:  2022-09       Impact factor: 3.758

  7 in total

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