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

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dc.contributor.supervisor Major, Arkady (Electrical and Computer Engineering) Ko, Alex (Electrical and Computer Engineering) en_US
dc.contributor.author Mostaco-Guidolin, Leila Buttner
dc.date.accessioned 2015-06-04T15:43:53Z
dc.date.available 2015-06-04T15:43:53Z
dc.date.issued 2010 en_US
dc.date.issued 2010 en_US
dc.date.issued 2011 en_US
dc.date.issued 2012 en_US
dc.date.issued 2013 en_US
dc.date.issued 2014 en_US
dc.date.issued 1998 en_US
dc.identifier.citation 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) en_US
dc.identifier.citation 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) en_US
dc.identifier.citation 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) en_US
dc.identifier.citation 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) en_US
dc.identifier.citation 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) en_US
dc.identifier.citation 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) en_US
dc.identifier.citation 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 en_US
dc.identifier.uri http://hdl.handle.net/1993/30569
dc.description.abstract 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. en_US
dc.publisher OSA Publishing en_US
dc.publisher SPIE en_US
dc.publisher IOP Science en_US
dc.publisher Springer en_US
dc.publisher Nature Publishing en_US
dc.publisher ACS Publications en_US
dc.publisher Elsivier en_US
dc.subject nonlienar optics en_US
dc.subject atherosclerosis en_US
dc.subject shg en_US
dc.subject cars en_US
dc.subject tpef en_US
dc.subject texture analysis en_US
dc.subject classification en_US
dc.subject multiphoton en_US
dc.title Multimodal characterization of atherosclerotic cardiovascular disease with label-free non-linear optical imaging techniques en_US
dc.degree.discipline Biomedical Engineering en_US
dc.contributor.examiningcommittee Sherif, Sherif, (Electrical and Computer Engineering) Paliwal, Jitendra (Biosystems Engineering) Cote, Daniel (Physics, Université Laval) en_US
dc.degree.level Doctor of Philosophy (Ph.D.) en_US
dc.description.note October 2015 en_US

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