Real-Time Three Dimension Diagnosis And Navigation For Clinical Freehand Ultrasond

The traditional two-dimensional ultrasound only can provide two-dimensional images of the body sections over the past two decades. Physicians made use of their experience and then reconstructed three-dimensional structure of human organs in their brain. meanwhile, different methods of taking two-dimensional images also can effect the diagnostic information. Make it unprecise. Especially in some deformed and pathological organs, two-dimensional image appears to lack of efficiency. So in some extent it affected the accuracy of diagnosis and efficiency of treatment. From the traditional two-dimensional imaging system paced to a three-dimensional imaging system, Technically, the image of three-dimensional modeling can be achieved, but three-dimensional image reconstruction requires a large amount of time, and the use of high-tech, new equipment needed to invest a lot of money which slow down the transition process.Compared with the traditional two-dimensional image, the three-dimensional ultrasound image has more merits, like intuitive, precise and positioning the lesions, and the success of three-dimensional ultrasound imaging system needs a very short period of time to collect, remodel and save the data, which decrease the patient examination frequency, and also can help doctors to examined the same case from various angles of a lesion at the same time. At present, the three-dimensional ultrasound system is use the existing two-dimensional ultrasound imaging to collect data for three-dimensional reconstruction usage, such as mechanical positioning system (dedicated integration probe), free hand system (acoustic sensor system, multi-joint mechanical arm and electromagnetic navigation and positioning system), two-dimensional array probe (direct access to three-dimensional body of data). Then in the third-party workstation, these images will be reconstructed and interpolated.Image reconstruction operations will need enormous computing capacity, makes a certain amount of data to process for three-dimensional reconstruction model spend a lot of time. In order to achieve a fast real-time three-dimensional reconstruction, choose a suitable reconstruction, interpolation algorithm is particularly important, currently the key three-dimensional reconstruction algorithms mainly are PNN, VNN, DW and other algorithms, in this project, we compare to choose the Gobbi algorithm to achieve the three-dimensional reconstruction. In comparing process, we take into account the image quality and speed of reconstruction and other factors.Carotid atherosclerosis has high incidence of disease in the Elder, which occur with high blood pressure, cerebrovascular disease, diabetes, manifested as arterial intimal thickening, plaque formation, thrombosis and stenosis occlusion, all of these are the risk factors for artery atherosclerosis. In the past the development of ultrasonic technology can analysis several sides of carotid artery wall sections, and rely on the Doppler of carotid arteries ultrasound, in - media thickness, plaque formation and vascular hemodynamic changes can be detected which can early diagnose the carotid atherosclerosis, but for the overall analysis of the blood vessel wall there are still shortcoming, clinically, we will use intravascular ultrasound (IVUS) to analyse vascular internal wall, this operation will cause traumatic issue, and all the result can be displayed under two-dimension. Now through three-dimensional reconstruction, we can see the blood vessels'various sections of information to help doctors diagnose different diseases, such as carotid intima thickening of carotid artery, carotid artery disease earlier. More early diagnose, intervention, and treatment, more better the patient's prognosis. Of course, in addition to vascular applications, three-dimensional reconstruction of ultrasound is also applicable to a variety of free-hand to conduct clinical testing, such as the liver and other organ in real terms.I'm comparing computing time, SNR (signal to noise ratio), MSE (mean square error), RMSE (root mean square error) and the (mean absolute error) MAE various authentication image quality indicators to choose the idealized algorithms in different options. In the final experimental stage, we pass on the simulation objects Two-dimensional ultrasound image acquisition, at the same time three-dimensional reconstruction, reconstruction of the different two-dimensional images were compared with the kind obtained good results, showing that its clinical application value.