Study On The Controlling System For Optical Coherence Tomography Based On LabVIEW And The Signal Processing

Optical Coherence Tomography (OCT) is a new optical tomographic imaging technology. It has many advantages such as non-radiation, high resolution, high sensitivity and real-time imaging, etc. Recent years, it is widely used in biomedical sciences and other domains. The structure imaging and optical characteristics (such as refractive index, absorption coefficient, scattering coefficient and scattering anisotropic factor etc) measuring of biological tissues have been the key research projects.The principle and the hardwares of OCT system is analyzed in detail. An optical fiber OCT systems has been designed and constructed with Amplifier Spontaneous Emission (ASE) light source at 1550nm. The system is mainly used in biological tissue optical parameters measurement.In order to achieve real-time monitoring automatically, a controlling system of optical coherence tomography for tissue optical properties testing has been designed and debugged based on Lab VIEW. The system includes a programmable driving module for reference arm control and a data acquisition module for data acquisition card operation; the modules are not only independent but also can constitute an organic unified system. A concise and friendly user interface has been designed. The procedures how to control and operate the OCT system automatically are introduced in detail. The control system has advantages of short development period, low cost, easy maintenance and transplant.The measurement were carried out with different concentrations of Intralipid tissue simulating liquids, the better results were achieved.Because the spectrum of the ASE source is not Gaussian profile, the interference signals contained many sidelobes which made the signal details of biological tissue structure fuzzy. In order to obtain ideal image information, the wavelet transform algorithm is designed based on Mallet algorithm to eliminate the sidelobes. The experiments for sidelobes removing have been conducted with the algorithm, the results show that almost all sidelobes can be eliminated meanwhile the valued mainlobe signal can be kept unaffected.