Dissertation > Excellent graduate degree dissertation topics show
Front-end Circuit Design and Research in the AD9273-based All Digital B-mode Medical Imaging System
Author: AnRan
Tutor: DingMingYue
School: Huazhong University of Science and Technology
Course: Biomedical Engineering
Keywords: Digital ultrasound imaging system Front-end circuits Ultrasonic transmit Echo received AD9273
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 41
Quote: 0
Read: Download Dissertation
Abstract
|
As a safe, convenient, non-destructive and inexpensive medical technology, medical ultrasound imaging has been playing an important role in clinical medical applications. Digital ultrasonic technology involve exact launch time delay control, digital echo signal processing, digital beam forming and digital scan conversion and other key technologies. The ultrasound imaging is developing towards the digital technology in which the analog circuits will be replaced by digital circuits of ultrasound imaging system. The front-end system is an important part in the digital ultrasound imaging system. The ultrasonic transmitting and receiving part has a direct impact on the performance of B mode ultrasound imaging quality. Therefore, to design front-end circuit with high performance is of theoretical value and practical significance for improving ultrasound imaging quality.This paper is focused on the design of AD9273-based front-end circuit in the B-mode medical imaging system. Front-end circuit consists of ultrasonic excitation circuit, sensor gating circuit, isolation protection circuit and ultrasonic echo signal processing channel. Ultrasonic high-voltage pulse emission circuit realizes the function of array element excitation inside the ultrasound probe. Array element switching circuit stimulates the array elements according to different sequential requirements. Isolation circuit prevents the high voltage signal from entering and burning the back-end echo signal processing circuit. The echo signal processing part includes low-noise amplifier, variable gain amplifier, antialiasing filter and high-speed analog-digital conversion. The received echo signals are transformed into digital signals which will be used for post-processing digital beamforming. The testing and verification of each module in the front-end circuits are conducted. The testing results show that the design of AD9273-based front-end ultrasound systems can achieve transmission and receiving ultrasonic signals, signal amplification, filtering and ADC functions.The AD9273 based front-end circuit is designed by means of ADI chips and it has good compatibility and stability. The research work in this paper will lay a good foundation for the continuous research on the application of front-end circuits to digital ultrasound imaging system.
|
Related Dissertations
- Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
- Research on Facial Feature Extraction and Matching Algorithms for Image Retrieval,TP391.41
- Research of High Speed Image Pre-processing System Based on FPGA,TP391.41
- Research on Algorithms of 2D Face Template Protection,TP391.41
- The Research and Implemention of Image Retrieval Based on User Interested Feature,TP391.41
- Research of Image Mosaic Technology,TP391.41
- Research and Implementation of Exact String Matchiing Algorithms,TP391.41
- Research on the Classification Based on the Reconstruction of Solder Joint,TP391.41
- Tongue Feature Extraction and Research of Fusion Classification,TP391.41
- The Fatigue State Recognition of the Driver Based on Eye Detection,TP391.41
- Research on Infrared Image Simulation for Aerial Objects and Background,TP391.41
- Research on Intelligent Learning-Based Multi-Sensor Target Recognition and Tracking System,TP391.41
- Research on Image Compression and Implementation Using TMS320C6713 Based on SPIHT Algorithm,TP391.41
- Research on Joint Target Detection for Dual-Sensor Image and System Implementation,TP391.41
- Research of Images Enhancing Algorithms on Fog or Backlighting Conditions and Implementation with Hardwares,TP391.41
- Video Coding Research Based on Texture Characteristics,TP391.41
- Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
- Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
- Research and Implementation on Content-Based Clothing Image Retrieval,TP391.41
- The Discovery of User Concept Region Based on Multiple Instance Learning,TP391.41
- Research on Rotational Image Stabilization Algorithms for Electronic Image Stabilization System,TP391.41
CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net Mobile
|