Multimodal characterization of atherosclerotic cardiovascular disease with label-free non-linear optical imaging techniques

Description

Application of the nonlinear optical microscopy (NLOM) for investigation of biological samples has, to date, primarily focused upon the qualitative analysis of images. The general consensus is that the nonlinear optical (NLO) techniques provide enough bio- chemical information when compared to, for example, visible light microscopy. Herein, it is presented a detailed study where a set of tools for quantitative extraction of infor- mation from NLO images were developed and tested for the analysis of complex tissue assemblies. Two-photon excited autofluorescence (TPEF), second-harmonic generation (SHG), and coherent anti-Stokes Raman scattering (CARS) were used for the charac- terization of atherosclerotic plaques. Our NLO-based image analysis of animal arteries affected by atherosclerotic plaque accumulation revealed that images of the healthy regions of the artery can be readily distinguished by marked differences in morphology, due to a fluorescent signal generated from the presence of generally intact elastic layer. Regions
affected by lesions were dominated by lipid-rich cells and collagen fibers; the elastic layer was disrupted and the presence of fluorescent particles were also detected. Next, the potential of using information extracted from NLO images lead us to the development of a new optical index for plaque burden (OIPB). Through the OIPB, it was possible to investigate and to classify the plaque severity regarding the already established and currently used definition during clinical analyses. Extrapolating to and anticipating future applications, several methods for extracting specific information from images acquired by each NLOM modality were developed and tested. Texture analysis, particle-specific features, fractal analysis and directionality of components within the images were successfully adapted and tailored to better extract relevant information from the
NLO images. Even though the methods presented in this thesis were mostly tested in images from arterial plaques, there is strong evidence that all tools presented here are capable of tracking changes that occur in many medical conditions and applications.

Links & Downloads

1. Mostaco-Guidolin L.B., Ko A.C-T., A. Ridsdale, Pegoraro A. F., Smith M.S.D., Hewko M.D., Kohlenberg E.K., Schattka B.J., Shiomi M., Stolow A., Sowa M.G., Differentiating atherosclerotic plaque burden in arterial tissues using femtosecond CARS-based multimodal nonlinear optical imaging, Biomedical Optics Express, Vol. 1, Issue 1, pp. 59 (2010)
2. Ko A.C-T, Ridsdale A., Smith M.S.D., Mostaco-Guidolin L.B., Hewko M.D., Pegoraro A.F., Kohlenberg E.M., Schattka B., Shiomi M., Stolow A., and Sowa M.G., Multimodal nonlinear optical imaging of atherosclerotic plaque development in myocardial infarction-prone rabbits, Journal of Biomedical Optics, 15, 020501 (2010)
3. Mostaco-Guidolin L.B., Ko A.C-T, Popescu D.P., Smith M.S.D., Kohlenberg E.K., Shiomi M., Major A., and Sowa M.G., Evaluation of texture parameters for the quantitative description of multimodal nonlinear optical images from atherosclerotic rabbit arteries, Journal of Physics in Medicine and Biology, 56, pp. 5319 (2011)
4. Ko A.C-T, Mostaco-Guidolin L.B., Ridsale A., Major A., Stolow A., and Sowa M.G., Nonlinear optical microscopy in decoding arterial diseases, Biophysical Reviews, DOI:10.1007/s12551-012-0077-8 (2012)
5. Mostaco-Guidolin L.B., Ko A.C-T, Wang F., Xing B., Smith M.S.D., Kohlenberg E.K., Tian G., Major A., and Sowa M.G., Collagen morphology and Texture analysis: from statistics to classiffication, Scientific Reports, 3, 2190 (2013)
6. Mostaco-Guidolin L.B., Kohlenberg E.K., Smith M.S.D., Hewko M, Major A., Sowa M.G., and Ko A.C-T, Optical Index for Plaque Burden: tracking atherosclerotic plaque development through multimodal nonlinear optical microscopy, DOI: 10.1021/ac5005635, Analytical Chemistry (2014)
7. Sato Y, Nakajima S, Shiraga N, Atsumi H, Yoshida S, Koller T, Gerig G, Kikinis R: Three-dimensional multi-scale line fi lter for segmentation and visualization of curvilinear structures in medical images. Medical image analysis 1998, 2(2):143{168. Parts reproduced with permission from Elvier. P.136-140
8. http://hdl.handle.net/1993/30569

Tags

nonlienar optics

atherosclerosis

shg

cars

tpef

texture analysis

classification

multiphoton

Additional Fields

Identifer	oai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/30569
Date	January 1998
Creators	Mostaco-Guidolin, Leila Buttner
Contributors	Major, Arkady (Electrical and Computer Engineering) Ko, Alex (Electrical and Computer Engineering), Sherif, Sherif, (Electrical and Computer Engineering) Paliwal, Jitendra (Biosystems Engineering) Cote, Daniel (Physics, Université Laval)
Publisher	OSA Publishing, SPIE, IOP Science, Springer, Nature Publishing, ACS Publications, Elsivier
Source Sets	University of Manitoba Canada
Detected Language	English