Raman Spectroscopy of Atherosclerosis

Poll, S. W. E. van de; Römer, T; Puppels, Gerwin J.; Laarse, Arnoud van der

doi:10.1177/174182670200900505

Cited by 25 publications

(18 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Developments of compact clinical Raman systems, specially developed Raman catheters and future directions of Raman spectroscopy in cardiovascular medicine have been summarized [83]. The performance of a fiber-optic probe was tested in vitro with aorta tissue [21].…”

Section: Atherosclerosismentioning

confidence: 99%

Disease recognition by infrared and Raman spectroscopy

Krafft¹,

Steiner²,

Beleites³

et al. 2009

Journal of Biophotonics

262

175

View full text Add to dashboard Cite

Infrared (IR) and Raman spectroscopy are emerging biophotonic tools to recognize various diseases. The current review gives an overview of the experimental techniques, data-classification algorithms and applications to assess soft tissues, hard tissues and body fluids. The methodology section presents the principles to combine vibrational spectroscopy with microscopy, lateral information and fiber-optic probes. A crucial step is the classification of spectral data by a variety of algorithms. We discuss unsupervised algorithms such as cluster analysis or principal component analysis and supervised algorithms such as linear discriminant analysis, soft independent modeling of class analogies, artificial neural networks support vector machines, Bayesian classification, partial least-squares regression and ensemble methods. The selected topics include tumors of epithelial tissue, brain tumors, prion diseases, bone diseases, atherosclerosis, kidney stones and gallstones, skin tumors, diabetes and osteoarthritis.

show abstract

Section: Atherosclerosismentioning

confidence: 99%

Disease recognition by infrared and Raman spectroscopy

Krafft¹,

Steiner²,

Beleites³

et al. 2009

Journal of Biophotonics

262

175

View full text Add to dashboard Cite

show abstract

“…The ability to guide light via intra-arterial catheters equipped with miniaturized optical fibers renders optical diagnostic techniques suitable for intracoronary use in patients. Spectroscopic techniques, such as diffuse reflectance nearinfrared (NIR) spectroscopy, Raman spectroscopy, and fluorescence spectroscopy, have been successfully demonstrated in the determination of the chemical composition of atherosclerotic plaques and for the evaluation of plaque collagen [13][14][15][16]. Used in conjunction with other intraarterial imaging techniques, such as optical coherence tomography (OCT), IVUS, or angioscopy, spectral data obtained from the arterial wall may provide valuable information about both, anatomical and biochemical determinants associated with plaque rupture [17].…”

Section: Laser-based Methods To Evaluate Plaque Collagenmentioning

confidence: 99%

Evaluation of collagen in atherosclerotic plaques: the use of two coherent laser-based imaging methods

et al. 2008

View full text Add to dashboard Cite

Acute coronary events such as myocardial infarction are frequently caused by the rupture of unstable atherosclerotic plaque. Collagen plays a key role in determining plaque stability. Methods to measure plaque collagen content are invaluable in detecting unstable atherosclerotic plaques. Recently, novel coherent laser-based imaging techniques, such as polarization-sensitive optical coherence tomography (PSOCT) and laser speckle imaging (LSI) have been investigated, and they provide a wealth of information related to collagen content and plaque stability. Additionally, given their potential for intravascular use, these technologies will be invaluable for improving our understanding of the natural history of plaque development and rupture and, hence, enable the detection of unstable plaques. In this article we review recent developments in these techniques and potential challenges in translating these methods into intra-arterial use in patients.

show abstract

“…2. The absorption coefficient at unit concentration of Hb and HbO 2 that is used as a priori knowledge for the model are from Zijlstra et al, 29 whereas the extinction coefficient of β-carotene in human adipose cells is from van de Poll et al 30 Water and lipid absorption coefficients that are used in the presented study are from a previous published work. 23 The collagen absorption coefficient presented in this study has a local maximum at 1200 nm of 1.54 cm − 1 , which is of the same order of magnitude as the water and lipid absorption coefficient in the vicinity of 1200 nm.…”

Section: Spectral Data Modelingmentioning

confidence: 99%