Using near-infrared (NIR) light with 700–1200 nm wavelength, transillumination images of small animals and thin parts of a human body such as a hand or foot can be obtained. They are two-dimensional (2D) images of internal absorbing structures in a turbid medium. A three-dimensional (3D) see-through image is obtainable if one can identify the depth of each part of the structure in the 2D image. Nevertheless, the obtained transillumination images are blurred severely because of the strong scattering in the turbid medium. Moreover, ascertaining the structure depth from a 2D transillumination image is difficult. To overcome these shortcomings, we have developed a new technique using deep learning principles. A fully convolutional network (FCN) was trained with 5,000 training pairs of clear and blurred images. Also, a convolutional neural network (CNN) was trained with 42,000 training pairs of blurred images and corresponding depths in a turbid medium. Numerous training images were provided by the convolution with a point spread function derived from diffusion approximation to the radiative transport equation. The validity of the proposed technique was confirmed through simulation. Experiments demonstrated its applicability. This technique can provide a new tool for the NIR imaging of animal bodies and biometric authentication of a human body.
Nowadays, transillumination imaging is more popular used in the medical field with the development of the vein finder and the non-invasive diagnosis applications. Near-infrared light with a wavelength of 700 - 1200 nm has relatively high transmission through biological tissue. Using near-infrared light, we can able to obtain a two dimensional (2D) transillumination image of the internal absorption structure such as blood vessel structure, liver ... in the body noninvasively. Even with a simple system (light-emitting diode (LED)'s array and low-cost camera), we could obtain the blood vessel transillumination image of human arm. However, the image is severely blurred due to the strong scattering in the tissue. We have devised the depth-dependent point spread function (PSF) to suppress the scattering effect in fluorescent imaging. In previous studies, we successfully applied this principle and developed a technique to reconstruct the absorbing structure in a turbid medium without using fluorescent material. The feasibility and effectiveness of the proposed technique were verified in experiments. However, this point spread function (PSF) is depth dependence, so that the depth information is required in practice. In order to make this method more practical, the new techniques for estimating the parameters of absorbing structure (depth and width) in the turbid medium by convolution and de-convolution with the point spread function (PSF) were devised. This paper presents a new technique for the estimation depth of an absorber in 2D transillumination image. This new technique was developed to estimate the depth of the absorber in turbid medium by convolution operation with the point spread function (PSF). By observing images with two-wavelength selected at which the scattering property of the medium is different. The transillumination image at one of the wavelengths is convolved with the PSF of another wavelength. Two images of alternative wavelengths are compared while changing the depth of the PSF. We can obtain the correct depth that gives a minimum difference between the two convoluted images. This technique does not require the repetition of the unstable deconvolution operation. The effectiveness of the proposed technique was verified in simulation and experiment.
Near-infrared transillumination imaging is useful in many biomedical applications such as human biometrics and animal experiments. Using near-infrared (NIR) light, we can able to obtain a two dimensional (2D) transillumination image of the internal absorption structure such as blood vessel structure, liver ... in a small animal body. If we can obtain projection images from many orientations, we can reconstruct a three dimensional (3D) image using various computed tomography techniques. In previous studies of our group, even with a simple system (light-emitting diode (LED)'s array and low-cost camera), we can obtain the blood vessel transillumination image of the human arm. In this paper, we propose preliminary research on the development of a computed tomography (CT) scanner prototype of human body parts using transillumination imaging.
Nowadays, fiber optical is used in many areas such as information transmission, medical with the advantage is rapid and avoid the loss of transmission efficiency. In medical use, the laser is increasingly used in rehabilitation treatment, especially low-level laser with the biological responses. Optic needle is one of the optimum options for bringing low-level lasers into the body through the intravenous route to interact with blood cells in blood vessels. We propose the application of fiber, the first step is the single-mode fiber in the low-level semiconductor red laser beam with wavelength 632,8 ~ 680nm into the vascular veins to provide effective low-level laser treatment. This paper reported the research on the production of intravenous optical needle.
This experimental study aimed to evaluate if the effect simultaneously wavelengths of 780 nm and 940 nm enhances bone regeneration of the broken bone. Experiments on pets: 14 dogs, were randomly divided into 2 groups: group I (low-level laser therapy) and group II (control). The results showed that dogs in group I had better bone regeneration and bone marrow formation than the control group. Then, we treated 25 patients with different fracture levels. They agreed to enjoy our method. After treatment, the fracture is no longer visible on X-ray film. The majority of patients after treatment only feel no pain or mild pain. This suggests that osteoblasts are positively affected when projected by low-level laser. It is very practical for the treatment of older patients because osteoblasts grow slowly than osteoclast.
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