Dissertation > Excellent graduate degree dissertation topics show

Design and Implementation of the Photoacoustic Imaging System

Author: LiJianGang
Tutor: MaJiaChen
School: Harbin Institute of Technology
Course: Control Science and Engineering
Keywords: photoacoustic imaging imaging equipment image reconstruction compressed sensing
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 97
Quote: 0
Read: Download Dissertation

Abstract


Photoacoustic imaging is a new nondestructive medical imaging technology. It’s based on photoacoustic effect of biological tissue and the different optical absorption of various biological tissues, so it has both the benefits of pure ultrasound imaging and pure optical imaging on getting high-resolution and high contrast images.In this paper, we firstly discuss the theory and the process of photoacoustic imaging. On this basis, an integration photoacoustic imaging device was designed, including a photoacoustic signal generation device, a signal preprocessing circuit, a data acquisition and transmission circuit and image reconstruction algorithm. First of all, expose the tissue to the pulsed laser. Then, use a linear array ultrasound detector by side to collect the photoacoustic signal and convert them into electrical signal. The electrical signal is then sampled by the data acquisition circuit after filtered and amplified. Finally, the data will be transferred to PC via USB port and reconstructed to image.Secondly, we studied the image reconstruction algorithm. According to the characteristics of noise in photoacoustic signal, a new de-noising method based on EMD and wavelet is presented. After that the phase-controlled focusing algorithm is used to reconstruct photoacoustic image. In order to overcome the problem that the image have many artifacts and is lateral resolution is very low, a multi-angle observations based on spatial compound imaging method is presented to reduce the image artifacts and improves the resolution photoacoustic images.At last we discussed the application of compressed sensing theory in photoacoustic imaging. For photoacoustic imaging systems with a single-element detector, we introduced a new imaging device and reconstruction algorithm based on compressed sensing theory so that there is no need to rotate the detector, which greatly reducing the imaging time. Subsequently, considering that there is always much noise in the photoacoustic signal, we presented a new reconstruction algorithm based Bayesian analysis, which can inhibit the noise while image reconstruction, reduce the reconstruction error and improve the image.

Related Dissertations

  1. Photoacoustic Signals Analysis and Its Medical Applications Based on Focused Scanning Photoacoustic Imaging,R318.51
  2. Facial expression recognition based on sparse representation residuals fusion,TP391.41
  3. Compressed Sensing Based Abnormal Events Detection in Wireless Communication Net-works,TN929.5
  4. Research on Cooperative Spectrum Sensing Schemes Based on Random Matrix Theory and Compressed Sensing,TN925
  5. Research on Signal Reconstruction Algorithm of Compressive Sense,TN911.6
  6. Research on Spectrum Detection Technology from Compressed Sensing,TN925
  7. Research on the Applications of Compressed Sensing in Wireless Sensor Network,TN929.5
  8. The Research of Speech Coding Based on Compressed Sensing,TN912.3
  9. The Key Technologies of Distributed Compressed Sensing in Wireless Sensor Networks,TN929.5
  10. A Study on Compressed Sensing Based Estimation of Multipath Channels,TN925
  11. Research on Speech Sparse Basis and Projection Matrix Based on Compressed Sensing,TN919.8
  12. Application of Photoacoustic Microscopy in Cerebral Hypoperfusion Model of Rats,R743.3
  13. Capacitance Tomography direct three-dimensional image reconstruction technology research,TP391.41
  14. Based on compressed sensing reconstruction algorithm,TN911.7
  15. The Study of Projection Sorting and Subset Selection in Iterative Reconstruction Algorithm Based on Cone-beam CT,TP391.41
  16. Algorithm Study on Accelerate CV Image Segmentation and Exterior Industrial Image Reconstruction by CUDA,TP391.41
  17. Optimization of Electrical Tomography System,O441.4
  18. The research and design of a three-dimensional radiation treatment planning system,R730.55
  19. Research on Key Technology of Accelerating Cone-beam CT Reconstruction Based on FPGA,TP391.41
  20. Research on Super Resolution Reconstruction of Image Sequences,TP391.41
  21. Research on Image Reconstruction Algorithms and Design of Software System for Electrical Tomography,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