Quantitative principal component model for skin chromophore mapping using multi-spectral images and spatial priors

被引：20

作者：

Kainerstorfer, Jana M. ^{[1
,2
]}

Riley, Jason D. ^{[1
]}

Ehler, Martin ^{[3
]}

Najafizadeh, Laleh ^{[1
,4
]}

Amyot, Franck ^{[5
]}

Hassan, Moinuddin ^{[1
]}

Pursley, Randall ^{[6
]}

Demos, Stavros G. ^{[7
]}

Chernomordik, Victor ^{[1
]}

Pircher, Michael ^{[2
]}

Smith, Paul D. ^{[8
]}

Hitzenberger, Christoph K. ^{[2
]}

Gandjbakhche, Amir H. ^{[1
]}

机构：

[1] Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, NIH, Program Pediat Imaging & Tissue Sci, Sect Analyt & Funct Biophoton, Bethesda, MD 20892 USA

[2] Med Univ Vienna, Ctr Med Phys & Biomed Engn, A-1090 Vienna, Austria

[3] Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, NIH, Program Phys Biol, Lab Integrat & Med Biophys,Sect Med Biophys, Bethesda, MD 20892 USA

[4] Henry M Jackson Fdn, Rockville, MD 20852 USA

[5] NINDS, NIH, Clin Neurosci Program, Bethesda, MD 20892 USA

[6] NIH, Ctr Informat Technol, Div Computat Biosci, Signal Proc & Instrumentat Sect, Bethesda, MD 20892 USA

[7] Lawrence Livermore Natl Lab, Livermore, CA 94551 USA

[8] Natl Inst Biomed Imaging & Bioengn, NIH, Lab Cellular Imaging & Macromol Biophys, Biomed Instrumentat & Multiscale Imaging Sect, Bethesda, MD 20892 USA

来源：

BIOMEDICAL OPTICS EXPRESS | 2011年 / 2卷 / 05期

关键词：

OPTICAL COHERENCE TOMOGRAPHY; HEMOGLOBIN OXYGENATION; EPIDERMAL THICKNESS; COLOR; ABSORPTION; SYSTEMS;

D O I：

10.1364/BOE.2.001040

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We describe a novel reconstruction algorithm based on Principal Component Analysis (PCA) applied to multi-spectral imaging data. Using numerical phantoms, based on a two layered skin model developed previously, we found analytical expressions, which convert qualitative PCA results into quantitative blood volume and oxygenation values, assuming the epidermal thickness to be known. We also evaluate the limits of accuracy of this method when the value of the epidermal thickness is not known. We show that blood volume can reliably be extracted (less than 6% error) even if the assumed thickness deviates 0.04mm from the actual value, whereas the error in blood oxygenation can be as large as 25% for the same deviation in thickness. This PCA based reconstruction was found to extract blood volume and blood oxygenation with less than 8% error, if the underlying structure is known. We then apply the method to in vivo multi-spectral images from a healthy volunteer's lower forearm, complemented by images of the same area using Optical Coherence Tomography (OCT) for measuring the epidermal thickness. Reconstruction of the imaging results using a two layered analytical skin model was compared to PCA based reconstruction results. A point wise correlation was found, showing the proof of principle of using PCA based reconstruction for blood volume and oxygenation extraction. (C) 2011 Optical Society of America

引用

页码：1040 / 1058

页数：19

共 46 条

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