Abstract

As imaging systems become more advanced and acquire data at faster rates, increasingly dynamic samples can be imaged without concern of motion artifacts. For optical interferometric techniques such as optical coherence tomography, it often follows that initially, only amplitude-based data are utilized due to unstable or unreliable phase measurements. As systems progress, stable phase maps can also be acquired, enabling more advanced, phase-dependent post-processing techniques. Here we report an investigation of the stability requirements for a class of phase-dependent post-processing techniques - numerical defocus and aberration correction with further extensions to techniques such as Doppler, phase-variance, and optical coherence elastography. Mathematical analyses and numerical simulations over a variety of instabilities are supported by experimental investigations.

Highlights

  • High-resolution volumetric tomography in biological tissue is of great importance to both basic science and medicine

  • Offline processing on the CPU was performed with double precision in MATLAB and the data was analyzed with singleprecision floats

  • Throughout this article, we have shown the effects of various types of motion on defocus and aberration correction that would be encountered in phase-sensitive optical computed imaging techniques

Read more

Summary

Introduction

High-resolution volumetric tomography in biological tissue is of great importance to both basic science and medicine. Interferometric detection of optical frequencies has enabled high-resolution imaging of biological samples through holography and optical coherence tomography (OCT) [4,5,6] These techniques, while useful in their own right, have benefitted from the introduction of various computed optical interferometric techniques [7,8,9,10]. This article investigates the additional impact of sample motion or system fluctuations on data reconstructions in computed optical interferometric imaging techniques. This article is separated into two parts This part (Part I) focuses on the impact of motion on computed optical interferometric techniques and the stability requirements which should be met for successful reconstructions. The stability assessment in the second part is related back to this part to validate the stability requirements set forth

Complex-valued deconvolution
Motion Model
Interrogation time
Motion as fluctuations on spatial frequencies
Determining thresholds for stability
Optical coherence tomography simulation
Types of disturbances
Reconstruction thresholds
Experimental results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.