Identification of vulnerable atherosclerotic plaque by analysis of time-varying laser speckle patterns

2004 ◽  
Author(s):  
Seemantini K. Nadkarni ◽  
Brett E. Bouma ◽  
Tina Helg ◽  
Milan Singh Minsky ◽  
Raymond Chan ◽  
...  
Keyword(s):  
Atherosclerotic Plaque ◽  
Laser Speckle ◽  
Time Varying ◽  
Vulnerable Atherosclerotic Plaque ◽  
Speckle Patterns

scholarly journals Active dynamics of colloidal particles in time-varying laser speckle patterns

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Silvio Bianchi ◽  
Riccardo Pruner ◽  
Gaszton Vizsnyiczai ◽  
Claudio Maggi ◽  
Roberto Di Leonardo
Keyword(s):  
Colloidal Particles ◽  
Laser Speckle ◽  
Time Varying ◽  
Speckle Patterns

Optical measurement of sound using time-varying laser speckle patterns

2011 ◽  
Author(s):  
Terence S. Leung ◽  
Shihong Jiang ◽  
Jeremy Hebden
Keyword(s):  
Optical Measurement ◽  
Laser Speckle ◽  
Time Varying ◽  
Speckle Patterns

scholarly journals Fourier transforms for fast and quantitative Laser Speckle Imaging

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
J. Buijs ◽  
J. van der Gucht ◽  
J. Sprakel
Keyword(s):  
Quantitative Data ◽  
Fourier Transforms ◽  
Imaging Technique ◽  
Laser Speckle ◽  
Frequency Range ◽  
Laser Speckle Imaging ◽  
Speckle Imaging ◽  
New Approach ◽  
Speckle Patterns ◽  
New Processing

Abstract Laser speckle imaging is a powerful imaging technique that visualizes microscopic motion within turbid materials. At current two methods are widely used to analyze speckle data: one is fast but qualitative, the other quantitative but computationally expensive. We have developed a new processing algorithm based on the fast Fourier transform, which converts raw speckle patterns into maps of microscopic motion and is both fast and quantitative, providing a dynamnic spectrum of the material over a frequency range spanning several decades. In this article we show how to apply this algorithm and how to measure a diffusion coefficient with it. We show that this method is quantitative and several orders of magnitude faster than the existing quantitative method. Finally we harness the potential of this new approach by constructing a portable laser speckle imaging setup that performs quantitative data processing in real-time on a tablet.

scholarly journals In vivo evaluation of vulnerable atherosclerotic plaque rabbit carotid model by optical coherence tomography

Heart ◽  
2011 ◽  
Vol 97 (Suppl 3) ◽  
pp. A17-A17
Author(s):  
S. Yanli ◽  
H. Sining ◽  
T. Jinwei ◽  
J. Haibo ◽  
M. Lingbo ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Atherosclerotic Plaque ◽  
Optical Coherence ◽  
Vulnerable Atherosclerotic Plaque ◽  
In Vivo Evaluation

scholarly journals Simple Rabbit Model of Vulnerable Atherosclerotic Plaque

2009 ◽  
Vol 49 (8) ◽  
pp. 327-332 ◽  
Author(s):  
Takashi SHIMIZU ◽  
Kanji NAKAI ◽  
Yuji MORIMOTO ◽  
Miya ISHIHARA ◽  
Hidenori OISHI ◽  
...  
Keyword(s):  
Atherosclerotic Plaque ◽  
Rabbit Model ◽  
Vulnerable Atherosclerotic Plaque
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