The aim is to evaluate the usefulness of optical blood flow measurements for predicting early tumor response to radiation therapy in patients with head and neck tumors. The results suggest a correlation between tumor blood flow changes with clinical outcome.
NIR handheld LED breast cancer imaging is a novel design that we are using widely in clinical study. During the test, we found the pressure change may affect the signal from the breast, especially to the blood flow inside of tissue. In this paper, we will show a new design of the probe combined with pressure sensors. And, we also did 15 cases of normal person’s breast test by using this design. We try to dig out how the pressure works and the relationships between the pressure effect to blood flow, also oxygen saturation in vivo. Some patients’ data may be presented here too.
Near Infrared Spectroscopy (NIRS) has been widely used in cancer imaging spectroscopy because cancer tissue has more blood volume and less oxygen than normal tissue. The neck squamous cell carcinoma is ideal for our study because it’s a surface mass can be easily feel through the skin. We use a simple homodyne phase modulation system, In-phase and Quadrature Phase (I&Q) Detection system, to study the curative effect of therapy in neck cancer patients. Clinical treatment includes mainly chemical and radiation therapy, both of which alter the blood volume and the oxygenation saturation in cancer tissue. The I&Q detection system is capable of the quantification measurement of those biological changes. In this paper, we will simply introduce the I&Q detection system’s principle and constitution, and mainly explain the analysis of patients’ data.
KEYWORDS: Signal to noise ratio, Instrument modeling, Signal detection, Modulation, Signal attenuation, Interference (communication), Diffusion, Sensors, Performance modeling, Light
This paper focuses on breast cancer diagnosis using the newly developed low-noise threewavelength (?=730nm, 805nm and 850nm) NIR light emitting diode (LED) continuous-wave (CW) imager. The NIR CW imager has its advantage of simplicity, and potential for a portable instrument. The imaging rate is 5 frame/second. The signal to noise ratio is larger than 2000 when measuring at a breast model ( ?a=0.04/cm, ?'= 8/cm), which corresponds to 4x 10-4 optical density (OD) error. Phantom test was carried out, and indicated good localization of heterogeneity. It was known that cancer has more blood concentration and de-oxygenation than normal tissue, which is the principle of breast cancer detection using NIR spectroscopy. Clinical results of breast cancer studies will be presented. Keywords: LED, Breast Cancer Imaging, CW
Each flight experiment needs a lot of labor power and costs much money. Therefore several simulation experiments must be conducted on the ground beforehand. The simulation experiment of a flight above the sea is more complicated than the simulation experiment of TAN (Terrain aided Navigation), since even for a fixed sea region, height data of sea wave are time-variant, so it is impossible to perform a simulation experiment directly using the historical flight data obtained in the sea region before. Instead, all the data must be generated by simulation, including the data of sea wave field, the data of air movements, and the instructions of the controlling system and the flight path of the flying machine. Because the radar height meter is one of the inputs of the controlling system, it is necessary to simulate the radar height meter. We give an effective method of simulating radar height meter provided that the simulation data of sea wave field are known. Compared with other methods, our method is simple and easily performed because the amount of data used is small and the arithmetic is convenient.
The technique of support vector machines (SVM's) has been used as a new method for solving classification, regression, time series prediction and function estimation problems with many successful applications. In this paper, we use SVM to solve the problem of classification for ultrasonic medicine image. We use statistical characteristics of the interesting part in an ultrasonic image to aid a doctor to give a correct diagnosis. The procedure is: first, to extract a number of small sampling regions in the interesting part; second, to calculate a series of moments about those sampling regions; third, to decide whether the interesting part of the organ is normal or abnormal according to the analyses of the series of moments based on SVM. SVM's structural risk minimization principle is the guarantee that the diagnosis has the minimum mistake probability. The diagnosis based on SVM is optimal from the viewpoint of structural risk minimization principle. It is hoped that the results presented here will be helpful to the diagnosis based on ultrasonic medicine image.
3D surface reconstruction is one of the hotspots in Computer Vision and Remote Sensing. Relative orientation is a important part of 3D surface reconstruction. The traditional method that finding the parameters of relative oriented model is Newton Method, but it is highly sensitive to the initial values of parameters. To overcome this shortage, we give a method of using penalty function to find the relative oriented model in this paper.
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