| With the rapid development of medical technology recently, bio-medical imagingtechnology is paid great attention by many people, and become more and more importantin variety fields such as the detection of the Cardiovascular and Cerebrovascular diseasesand the early test of Tumor. The near-infrared imaging is a new method which raised inrecent years, with the advantages that non-invasive and non-radiation, which makes it thefocus of research.Much scattering occurs when near-infrared light spread in breast tissue, which leadsthe image captured by detector can’t reflect the real information in the tissue. Therefore,it’s very important for near-infrared light breast detection to build a model with clearparameter to describe the status that light spread in the tissue.Using an optical phantom whose optical properties are highly similar to breast tissuefor research, and then explore the law of motion of the light through computing thescattering model when light spread in breast tissue. Using two optical phantom withdifferent thickness to simulate two layers of breast tissue. In the aspect of imageprocessing, utilizing three different denoising methods because of the actual noise andselect the most suitable one. In the step of computing scattering model, running Gaussiancurve fitting to the row and column of spot center, then compute necessary parametersaccording to deconvolution theorem and the principle of the equal correspondingparameter, and obtain the scattering model through the result above at last.In the experiment, using a near-infrared light with a wavelength of650mm as lightsource, an infrared camera as detector and the scan optical path control device to ensurethe uniform motion of light source.The experimental results show status of the light intensity distribution when the lightreached a point and scattered, and also laying a good foundation for further tomographyand restoring the true information in breast tissue. |
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