Research on the effect of numerical aperture on probing depth of OCT system with new Monte Carlo simulation model

As a numerical experiment, Monte Carlo simulation (MCS) has been proven to be a credible and flexible method for predicting the distribution of light in random media. It has full control of many parameters of optical system, which may be cumbersome to obtain in a real experiment. In standard OCT system, confocal microscopy structure with different Numerical Aperture (NA) is selected to acquire superior transverse resolution and unique property of optical sectioning. But the effects of numerical aperture on the probing depth of OCT system are difficult to estimate. In this paper, a new Monte Carlo simulation model of OCT system based on confocal mode is put forward to simulate the confocal microscopy structure and focused gaussian beam. It makes up the deficiency of traditional MCS model, which can only be applied to infinity narrow beam. By applying this new model, the effects of NA on probing depth of OCT system are analyzed, and the estimation of critical probing depth of OCT system is discussed. Study indicates that a smaller numerical aperture has more advantage on the probing depth when the transverse resolution is ensured.

[1]  Andreas Tycho,et al.  Derivation of a Monte Carlo method for modeling heterodyne detection in optical coherence tomography systems. , 2002, Applied optics.

[2]  Andreas Tycho,et al.  Advanced modelling of optical coherence tomography systems. , 2004, Physics in medicine and biology.

[3]  V. Tuchin Tissue Optics: Light Scattering Methods and Instruments for Medical Diagnosis , 2000 .

[4]  Joseph M. Schmitt,et al.  MODEL OF OPTICAL COHERENCE TOMOGRAPHY OF HETEROGENEOUS TISSUE , 1997 .

[5]  J M Schmitt,et al.  Efficient Monte Carlo simulation of confocal microscopy in biological tissue. , 1996, Journal of the Optical Society of America. A, Optics, image science, and vision.

[6]  Jukka T. Hast,et al.  Monte Carlo simulation of low-coherent light transport in highly scattering media: application to OCT diagnostics of blood and skin , 2004, Saratov Fall Meeting.

[7]  A. Fercher,et al.  Optical coherence tomography - principles and applications , 2003 .

[8]  Marcus Magnor,et al.  Simulation of confocal microscopy through scattering media with and without time gating , 2001 .

[9]  Peter E. Andersen,et al.  Monte Carlo modeling of optical coherence tomography systems , 2004, SPIE BiOS.

[10]  L V Wang,et al.  Monte Carlo simulation of an optical coherence tomography signal in homogeneous turbid media. , 1999, Physics in medicine and biology.

[11]  L Wang,et al.  MCML--Monte Carlo modeling of light transport in multi-layered tissues. , 1995, Computer methods and programs in biomedicine.

[12]  Junhee Lee,et al.  Error analysis and tolerance allocation for confocal scanning microscopy using the Monte Carlo method , 2004, SPIE BiOS.