Analyzing quantitative light scattering spectra of phantoms measured with optical coherence tomography

2008 ◽  
Vol 13 (2) ◽  
pp. 024004 ◽  
Author(s):  
Tasshi Dennis ◽  
Shellee D. Dyer ◽  
Andrew Dienstfrey ◽  
Gurpreet Singh ◽  
Paul Rice
Keyword(s):  
Optical Coherence Tomography ◽  
Light Scattering ◽  
Optical Coherence ◽  
Scattering Spectra

Abstract 18844: Diagnosis of Thin-capped Fibroatheromas in Intravascular Optical Coherence Tomography Images: Effects of Light Scattering

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Taylor Hoyt ◽  
Jennifer Phipps ◽  
Deborah Vela ◽  
Tianyi Wang ◽  
Maximillian Buja ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Light Scattering ◽  
Coronary Arteries ◽  
Foam Cell ◽  
Imaging Modality ◽  
Fibrous Tissue ◽  
Image Feature ◽  
Optical Coherence ◽  
Fibrous Cap ◽  
Intravascular Optical Coherence Tomography

Objectives: Intravascular optical coherence tomography (IVOCT) images are recorded by detecting light backscattered within coronary arteries. We hypothesize that non- thin-cap fibroatheroma (TCFA) etiologies may scatter light to create the false appearance of IVOCT TCFA. Background: Conflicting reports are recognized about the accuracy of IVOCT for TCFA detection. Methods: Ten human cadaver hearts were imaged with IVOCT (N=14 arteries). Coronary arteries were sectioned at 120 μm intervals. IVOCT and histologic TCFA were co-registered and compared. Results: Of 21 IVOCT TCFAs identified by two independent IVOCT core labs (fibrous cap <65 μm, lipid arc >90°), only 8 were true histologic TCFA. Foam cell infiltration was responsible for 62% of cases in which either thick-capped fibroatheromas (ThKFAs) appeared like TCFAs or arterial tissue appeared like TCFAs when no lipid core was present. Other false IVOCT TCFA etiologies included SMC-rich fibrous tissue (15%) and loose connective tissue (8%). If the lipid arc >90° criterion was disregarded, 45 IVOCT TCFAs were identified, and sensitivity of IVOCT TCFA detection increased from 53% to 88%; specificity remained high at 93%, and the presence of a new IVOCT image feature called “bright streaks” increased positive predictive value (PPV) to 53%. New mechanisms for light scattering are proposed to explain the low PPV of IVOCT to identify true TCFA (44%), and explain why other plaque components can masquerade as IVOCT TCFA. Conclusions: IVOCT can exhibit up to 88% sensitivity and 98% specificity to detect TCFA, but PPV is limited due to multiple etiologies that cause light scattering similar to true TCFA. Disregarding the lipid arc >90° IVOCT TCFA requirement, and the identification of a new feature, bright steaks, can enhance the ability of IVOCT to detect TCFA. Combining IVOCT with another imaging modality that more specifically recognizes lipid will be important for increasing PPV in the future.

scholarly journals Measuring light scattering and absorption in corals with Inverse Spectroscopic Optical Coherence Tomography (ISOCT): a new tool for non-invasive monitoring

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
G. L. C. Spicer ◽  
A. Eid ◽  
D. Wangpraseurt ◽  
T. D. Swain ◽  
J. A. Winkelmann ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Properties ◽  
Light Scattering ◽  
Light Propagation ◽  
Coral Tissue ◽  
Coral Host ◽  
Invasive Monitoring ◽  
Optical Coherence ◽  
Invasive Approach ◽  
Non Invasive

Abstract The success of reef-building corals for >200 million years has been dependent on the mutualistic interaction between the coral host and its photosynthetic endosymbiont dinoflagellates (family Symbiodiniaceae) that supply the coral host with nutrients and energy for growth and calcification. While multiple light scattering in coral tissue and skeleton significantly enhance the light microenvironment for Symbiodiniaceae, the mechanisms of light propagation in tissue and skeleton remain largely unknown due to a lack of technologies to measure the intrinsic optical properties of both compartments in live corals. Here we introduce ISOCT (inverse spectroscopic optical coherence tomography), a non-invasive approach to measure optical properties and three-dimensional morphology of living corals at micron- and nano-length scales, respectively, which are involved in the control of light propagation. ISOCT enables measurements of optical properties in the visible range and thus allows for characterization of the density of light harvesting pigments in coral. We used ISOCT to characterize the optical scattering coefficient (μs) of the coral skeleton and chlorophyll a concentration of live coral tissue. ISOCT further characterized the overall micro- and nano-morphology of live tissue by measuring differences in the sub-micron spatial mass density distribution (D) that vary throughout the tissue and skeleton and give rise to light scattering, and this enabled estimates of the spatial directionality of light scattering, i.e., the anisotropy coefficient, g. Thus, ISOCT enables imaging of coral nanoscale structures and allows for quantifying light scattering and pigment absorption in live corals. ISOCT could thus be developed into an important tool for rapid, non-invasive monitoring of coral health, growth and photophysiology with unprecedented spatial resolution.

scholarly journals Microscale light management and inherent optical properties of intact corals studied with optical coherence tomography

2019 ◽  
Vol 16 (151) ◽  
pp. 20180567 ◽  
Author(s):  
Daniel Wangpraseurt ◽  
Steven Jacques ◽  
Niclas Lyndby ◽  
Jacob Boiesen Holm ◽  
Christine Ferrier Pages ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Properties ◽  
Light Scattering ◽  
Soft Tissues ◽  
Coral Species ◽  
High Efficiency ◽  
Coral Tissue ◽  
Optical Coherence ◽  
Stylophora Pistillata ◽  
Inherent Optical Properties

Coral reefs are highly productive photosynthetic systems and coral optics studies suggest that such high efficiency is due to optimized light scattering by coral tissue and skeleton. Here, we characterize the inherent optical properties, i.e. the scattering coefficient, μ s , and the anisotropy of scattering, g , of eight intact coral species using optical coherence tomography (OCT). Specifically, we describe light scattering by coral skeletons, coenoarc tissues, polyp tentacles and areas covered by fluorescent pigments (FP). Our results reveal that light scattering between coral species ranges from μ s = 3 mm −1 ( Stylophora pistillata ) to μ s = 25 mm −1 ( Echinopora lamelosa ) . For Platygyra pini , μ s was 10-fold higher for tissue versus skeleton, while in other corals (e.g. Hydnophora pilosa ) no difference was found between tissue and skeletal scattering. Tissue scattering was threefold enhanced in coenosarc tissues ( μ s = 24.6 mm −1 ) versus polyp tentacles ( μ s = 8.3 mm −1 ) in Turbinaria reniformis . FP scattering was almost isotropic when FP were organized in granule chromatophores ( g = 0.34) but was forward directed when FP were distributed diffusely in the tissue ( g = 0.96). Our study provides detailed measurements of coral scattering and establishes a rapid approach for characterizing optical properties of photosynthetic soft tissues via OCT in vivo .

scholarly journals Detecting apoptosis using dynamic light scattering with optical coherence tomography

2011 ◽  
Vol 16 (7) ◽  
pp. 070505 ◽  
Author(s):  
Golnaz Farhat ◽  
Adrian Mariampillai ◽  
Victor X. D. Yang ◽  
Gregory J. Czarnota ◽  
Michael C. Kolios
Keyword(s):  
Optical Coherence Tomography ◽  
Light Scattering ◽  
Dynamic Light Scattering ◽  
Optical Coherence

scholarly journals Intravascular optical coherence tomography light scattering artifacts: merry-go-rounding, blooming, and ghost struts

2014 ◽  
Vol 19 (12) ◽  
pp. 126017 ◽  
Author(s):  
J. Jacob Mancuso ◽  
David L. Halaney ◽  
Sahar Elahi ◽  
Derek Ho ◽  
Tianyi Wang ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Light Scattering ◽  
Optical Coherence ◽  
Intravascular Optical Coherence Tomography

Measuring intracellular motion using dynamic light scattering with optical coherence tomography in a mouse tumor model

2012 ◽  
Author(s):  
Golnaz Farhat ◽  
Adrian Mariampillai ◽  
Kenneth K. C. Lee ◽  
Victor X. D. Yang ◽  
Gregory J. Czarnota ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Light Scattering ◽  
Dynamic Light Scattering ◽  
Tumor Model ◽  
Mouse Tumor ◽  
Optical Coherence ◽  
Mouse Tumor Model
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