Cristin-resultat-ID: 1713100
Sist endret: 24. mars 2020, 11:13
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig artikkel
2019

A Spectral Filter Array Camera for Clinical Monitoring and Diagnosis: Proof of Concept for Skin Oxygenation Imaging

Bidragsytere:
  • Jacob Renzo Bauer
  • Arnoud A. Bruins
  • Jon Yngve Hardeberg og
  • Rudolf Verdaasdonk

Tidsskrift

Journal of Imaging
ISSN 2313-433X
e-ISSN 2313-433X
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2019
Publisert online: 2019
Trykket: 2019
Volum: 5(8)
Artikkelnummer: 66
Open Access

Importkilder

Scopus-ID: 2-s2.0-85072394085

Beskrivelse Beskrivelse

Tittel

A Spectral Filter Array Camera for Clinical Monitoring and Diagnosis: Proof of Concept for Skin Oxygenation Imaging

Sammendrag

The emerging technology of spectral filter array (SFA) cameras has great potential forclinical applications, due to its unique capability for real time spectral imaging, at a reasonable cost.This makes such cameras particularly suitable for quantification of dynamic processes such as skinoxygenation. Skin oxygenation measurements are useful for burn wound healing assessment and asan indicator of patient complications in the operating room. Due to their unique design, in which allpixels of the image sensor are equipped with different optical filters, SFA cameras require specificimage processing steps to obtain meaningful high quality spectral image data. These steps includespatial rearrangement, SFA interpolations and spectral correction. In this paper the feasibility ofa commercially available SFA camera for clinical applications is tested. A suitable general imageprocessing pipeline is proposed. As a ’proof of concept’ a complete system for spatial dynamicskin oxygenation measurements is developed and evaluated. In a study including 58 volunteers,oxygenation changes during upper arm occlusion were measured with the proposed SFA system andcompared with a validated clinical device for localized oxygenation measurements. The comparisonof the clinical standard measurements and SFA results show a good correlation for the relativeoxygenation changes. This proposed processing pipeline for SFA cameras shows to be effective forrelative oxygenation change imaging. It can be implemented in real time and developed further forabsolute spatial oxygenation measurements.

Bidragsytere

Jacob Renzo Bauer

  • Tilknyttet:
    Forfatter
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Arnoud A. Bruins

  • Tilknyttet:
    Forfatter
    ved Vrije Universiteit Amsterdam Medical Center

Jon Yngve Hardeberg

  • Tilknyttet:
    Forfatter
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Rudolf Verdaasdonk

  • Tilknyttet:
    Forfatter
    ved Universiteit Twente
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