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 language | English (US) |
|---|---|
| Article number | 046007 |
| Journal | Journal of Biomedical Optics |
| Volume | 15 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 2010 |
| Externally published | Yes |
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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
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 journal › Article
}
TY - JOUR
T1 - Principal component model of multispectral data for near real-time skin chromophore mapping
AU - Kainerstorfer, Jana M.
AU - Ehler, Martin
AU - Amyot, Franck
AU - Hassan, Moinuddin
AU - Demos, Stavros G.
AU - Chernomordik, Victor
AU - Hitzenberger, Christoph K.
AU - Gandjbakhche, Amir H.
AU - Riley, Jason D.
PY - 2010/7
Y1 - 2010/7
N2 - 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.
AB - 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.
KW - Biophotonics
KW - Blood volume
KW - Modeling
KW - Multispectral imaging
KW - Principal component analysis
KW - Tissue oxygenation
UR - http://www.scopus.com/inward/record.url?scp=79952199054&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952199054&partnerID=8YFLogxK
U2 - 10.1117/1.3463010
DO - 10.1117/1.3463010
M3 - Article
C2 - 20799809
AN - SCOPUS:79952199054
VL - 15
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
SN - 1083-3668
IS - 4
M1 - 046007
ER -