A stochastic process Et with t as an integer number, is denominated as strongly stationary if any set of times Ruxolitinib msds t1,t2 and any integer k the joint probability distributions of Et1,��,Etn and Et1+k,��,Etn+kcoincide, in other words, when there is correlation between both distributions. Before to calculate the autocorrelation function is necessary obtain some statistical parameters considering each arc emission E(t,��) as
Optical Coherence Tomography (OCT) has been widely accepted as a non-invasive high resolution imaging modality for in vivo biological specimens [1]. After the emergence of spectral domain OCT (SD-OCT) and swept source OCT (SSOCT), the real time imaging and displaying feature has become one of the major competing categories [2�C4].
Real time displaying feature is another key parameter to deliver the OCT technology to clinical and industrial fields because dynamic changes of the targets are often screened by human vision. Current real-time video-rate display is commonly limited to displaying OCT intensity images. Phase information related to flowing objects requires a significant post-processing effort, and also most flow dynamics require high speed acquisition to trigger certain interesting events. The need for real-time display of Doppler frequency shift images is urgently required for monitoring flow samples, but such a feature has not been reported yet.Recent commercialization for massive parallel processing units provides an easily adaptable solution to this problem.
Recently developed Graphics Processing Units (GPUs) enable very fast processing of OCT signals, but also can execute parallel, general purpose numerical solutions surpassing the use of CPUs. Several years ago NVIDIA Corporation presented a parallel computing architecture named Compute Unified Device Architecture (CUDA) commonly adapted in computer games for more natural presentation of sceneries. Use of GPUs in the OCT research field for fast display of intensity images has been reported several times [5�C8]. In this paper, we report a novel ultra-fast displaying Spectral Domain Optical Doppler Tomography (SD-ODT) by use of CUDA processes for real-time display of OCT intensity and Doppler images simultaneously at a frame rate of 120 fps for a 2,048 �� 512 pixel image size.2.?System Configuration Dacomitinib and Signal Processing ArchitectureThe schematic diagram of the developed SD-OCT system is shown at Figure 1.
A 12-bit CMOS line scanning camera (Sprint spL2048-140 k, Basler AG) with 70,000 line/s effective line rate at 2,048 pixel mode was used as the detector of the SD-OCT system. The transmission type diffraction grating (Spatial Frequency 1,800 lpmm, Nominal AOI/AOD 46.05 Degrees, Wasatch Photonics) was adapted to enhance light efficiency in the detection nevertheless path.