Imaging of spatio-temporal coincident states by dynamic optical tomography

The utility of optical tomography as a static imaging modality is limited by its intrinsically low spatial resolution and quantitative accuracy. When applied to dynamic measurements, however, optical imaging methods have the potential to assess tissue function as revealed by temporal variations in tissue optical properties. These variations are a consequence of vascular hemodynamic processes, which are known to exhibit considerably spatiotemporal heterogeneity. In this report we provide evidence, from simulation, that complex dynamic behavior in optical coefficients occurring in localized regions in highly scattering media can be accurately characterized by the method of dynamic optical tomography, even in the limiting case of spatiotemporally coincident behavior.

[1]  Y Pei,et al.  Modeling of sensitivity and resolution to an included object in homogeneous scattering media and in MRI-derived breast maps. , 1999, Optics express.

[2]  Joseph M. Lasker,et al.  Performance characteristics of silicon photodiode (SiPD)-based instrument for fast functional optical tomography , 2001, SPIE BiOS.

[3]  L. Glass,et al.  From Clocks to Chaos: The Rhythms of Life , 1988 .

[4]  Harry L. Graber,et al.  Normalized-constraint method for minimizing interparameter cross-talk in reconstructed images of spatially heterogeneous scattering and absorption coefficients , 2001, SPIE BiOS.

[5]  Harry L. Graber,et al.  Clinical applications of dynamic optical tomography in vascular disease , 2001, SPIE BiOS.

[6]  Harry L. Graber,et al.  Spatiotemporal imaging of vascular reactivity , 2000, Medical Imaging.

[7]  L. Glass,et al.  Oscillation and chaos in physiological control systems. , 1977, Science.

[8]  T. Griffith,et al.  Chaos and Fractals in Vascular Biology , 1994 .

[9]  S Zhong,et al.  Instrumentation and calibration protocol for imaging dynamic features in dense-scattering media by optical tomography. , 2000, Applied optics.

[10]  S. Arridge,et al.  Nonuniqueness in diffusion-based optical tomography. , 1998, Optics letters.

[11]  K. Briggs.  An improved method for estimating Liapunov exponents of chaotic time series , 1990 .

[12]  A. Nayfeh,et al.  Applied nonlinear dynamics : analytical, computational, and experimental methods , 1995 .

[13]  C H Schmitz,et al.  Optical tomographic imaging of dynamic features of dense-scattering media. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.