Feature Analysis Of Interface In Superficial Soft Tissue And Detection Of Fat Thickness Based On The Distribution Of Ultrasonic RF Echo

Ultrasonic technique have developed very fast in recent years, itfind wide application in the fields of diagnosis, treatment, and industrialinspection. We know the ultrasonic which interact with Living Tissue, arereflected the tissue structure characters, structural finding and ultrasoniclooking for characteristic parameters has received tremendous attention inthe fundamental research of biomedical ultrasonic. In diagnostic technique,such as B mode ultrasound, the ultrasonic signals receive from the bodysurface is the result of superficial soft tissue (skin, fat and muscle), bodytissue interaction with ultrasound systems, which make identificationdifficult in the body characteristics of organizational structure; the otherhand, the signals form the ultrasonic diagnostic, mostly after demodulationprocessing, so they are "abnormal" signals and lost a lot of details of theorganization structure characteristics. Therefore, the superficial soft tissueof ultrasonic testing signal processing, whether from the academic or thepractical application should be the focus of the study.The purpose of this paper is to use modern signal processingtechniques to explore the interface of signal feature extraction and recognition of superficial soft tissue; the other hand, we attempt to achievethe ultrasonic measurement of the human subcutaneous fat thicknesswhich has the advantages such as simple and visual, also we hope toprovide a means of monitoring for the ultrasound-assisted liposuction.The fundamental principles of the ultrasonic thickness testinginvolved the acoustic basis of presentation and acoustic propagation in thehierarchical structure of the superficial soft tissue. Although the acousticimpedance between soft tissue or less, but its special structural features ofsuperficial soft tissue, especially the superficial fascia and deep fascia, sowe can recognition to determine the superficial tissue thickness of bodythrough this two interface.In the paper a new method for subcutaneous fat thickness detectionwhich based on ultrasound RF echo distribution is presented. Firstly, thismethod analysis superficial tissue structure characteristics, and find out thedifferent body tissue signal features from the RF echo signal. Secondly,detect each tissue layer’s thickness by pulse-echo method, then, the resultsare compared with B-mode ultrasonic and straightedge. Finally, setthreshold for peak detection of RF echo signals.A simple multi-layer model for superficial tissue structure testing of“the skin-superficial fat-superficial fascia-deep fat-deep fascia-muscle” is derived. Based on the simple convolution model of multi-layer,the reasons of wave numbers of interfacial echo signal are analyzed, which would be used in feature recognition of interfaces in superficial soft tissue,and interfacial echo signal data are decomposed and reconstructed bywavelet transform analysis. The number of reconstructed interface signalis the feature.The results of experiments indicate the feasibility of the methodgiven by this paper, and the ultrasound RF echo signals we have got willcontribute to the superficial tissue feature extraction and recognition.Other wise the convolution model is effective for extraction of theinterface echo signal features in the superficial soft tissue, and it also canidentify and locate the defects.Finally, systematic design for subcutaneous fat thickness isintroduced. The experiments prove that the instrument can measure the fatthickness in the thick and homogeneous microstructure tissue. Due tobreathing, movement and other factors, the measurement of humansubcutaneous fat thickness indicates that instrument needs furtherimprovement.