Study On Measurement Of Ultrasonic Acoustic Quantity In Tissue Mimicking Material

With the development of science and technology, the medical ultrasonic diagnostic equipments have been more and more widely used, and their safety, effectiveness and accuracy of detection are particularly important. The main detection method is to use ultrasound Tissue Mimicking Phantom for medical ultrasonic diagnostic equipment. Therefore, the research of phantom preparation and properties is very necessary. At present, the way to evaluate the phantom is that acoustic parameters of tissue mimicking material are detected and judged to agree with acoustic parameters of body. So, it is important theoretical significance and wide applicability to study on measurement of acoustic parameters of tissue mimicking material by using ultrasonic signal.The purpose of this paper is to measure sound velocity, attenuation coefficient and backscatter coefficient of tissue mimicking material. Integration of its measurement system and measurement methods has been more studies. The main work is shown as follows:1. An effective measurement method of these parameters is given based on the properties of phantom and a set of equipments has been built up for measuring after summarizing existing theory of measurement. The acoustic velocity, attenuation coefficient and backscatter coefficient have been measured with different composition of material and compared with the theoretical value. The result shows that the measurement system used is feasible and reliable and the sample of material we have made is practical.2.Combined with the characteristics of signals, a special data acquisition and signal processing software is provided by the way of integrated measurement system base on analyzing the measurement methods of acoustic velocity, attenuation coefficient and backscatter coefficient. Experimental results show that acoustic velocity, attenuation coefficient and backscatter coefficient can be measured automatically and accurately by the software system.3. A wavelet denoising method has been used to handle the collection signal based on the research of wavelet transform theory. Experimental results show that the wavelet denoising method can not only remove the noise effectively but also reserve the useful signals suitably. In this way, an effect of different focus placement and different signal length for backscatter coefficient has been analyzed specifically. Experimental data shows that backscatter coefficient changes slightly with the focus situation altering and has nothing to do with the signal length.