Principal component model of multispectral data for near real-time skin chromophore mapping

Jana M. Kainerstorfer, Martin Ehler, Franck Amyot, Moinuddin Hassan, Stavros G. Demos, Victor Chernomordik, Christoph K. Hitzenberger, Amir H. Gandjbakhche, Jason D. Riley

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Abstract. Multispectral images of skin contain information on the spatial distribution of biological chromophores, such as blood and melanin. From this, parameters such as blood volume and blood oxygenation can be retrieved using reconstruction algorithms. Most such approaches use some form of pixelwise or volumetric reconstruction code. We explore the use of principal component analysis (PCA) of multispectral images to access blood volume and blood oxygenation in near real time. We present data from healthy volunteers under arterial occlusion of the forearm, experiencing ischemia and reactive hyperemia. Using a two-layered analytical skin model, we show reconstruction results of blood volume and oxygenation and compare it to the results obtained from our new spectral analysis based on PCA. We demonstrate that PCA applied to multispectral images gives near equivalent results for skin chromophore mapping and quantification with the advantage of being three orders of magnitude faster than the reconstruction algorithm.

Original languageEnglish (US)
Article number046007
JournalJournal of Biomedical Optics
Volume15
Issue number4
DOIs
StatePublished - Jul 2010
Externally publishedYes

Fingerprint

Chromophores
blood volume
chromophores
oxygenation
Skin
Blood
principal components analysis
blood
Oxygenation
Principal component analysis
forearm
melanin
ischemia
occlusion
Melanin
spectrum analysis
spatial distribution
Melanins
Spectrum analysis
Spatial distribution

Keywords

  • Biophotonics
  • Blood volume
  • Modeling
  • Multispectral imaging
  • Principal component analysis
  • Tissue oxygenation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biomaterials
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

Cite this

Kainerstorfer, J. M., Ehler, M., Amyot, F., Hassan, M., Demos, S. G., Chernomordik, V., ... Riley, J. D. (2010). Principal component model of multispectral data for near real-time skin chromophore mapping. Journal of Biomedical Optics, 15(4), [046007]. https://doi.org/10.1117/1.3463010

Principal component model of multispectral data for near real-time skin chromophore mapping. / Kainerstorfer, Jana M.; Ehler, Martin; Amyot, Franck; Hassan, Moinuddin; Demos, Stavros G.; Chernomordik, Victor; Hitzenberger, Christoph K.; Gandjbakhche, Amir H.; Riley, Jason D.

In: Journal of Biomedical Optics, Vol. 15, No. 4, 046007, 07.2010.

Research output: Contribution to journalArticle

Kainerstorfer, JM, Ehler, M, Amyot, F, Hassan, M, Demos, SG, Chernomordik, V, Hitzenberger, CK, Gandjbakhche, AH & Riley, JD 2010, 'Principal component model of multispectral data for near real-time skin chromophore mapping', Journal of Biomedical Optics, vol. 15, no. 4, 046007. https://doi.org/10.1117/1.3463010
Kainerstorfer JM, Ehler M, Amyot F, Hassan M, Demos SG, Chernomordik V et al. Principal component model of multispectral data for near real-time skin chromophore mapping. Journal of Biomedical Optics. 2010 Jul;15(4). 046007. https://doi.org/10.1117/1.3463010
Kainerstorfer, Jana M. ; Ehler, Martin ; Amyot, Franck ; Hassan, Moinuddin ; Demos, Stavros G. ; Chernomordik, Victor ; Hitzenberger, Christoph K. ; Gandjbakhche, Amir H. ; Riley, Jason D. / Principal component model of multispectral data for near real-time skin chromophore mapping. In: Journal of Biomedical Optics. 2010 ; Vol. 15, No. 4.
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