Signal processing and image reconstruction for scanning tomographic acoustic microscopy

With the advent of high-speed and specialized computers, computed imaging has gained prominence. This thesis is on the application of signal and image processing techniques to address the problems of resolution and noise in the Scanning Laser Acoustic Microscope (SLAM). The SLAM was developed for high-resolution, real-time imaging in biomedical tissue analysis and nondestructive testing. Because of diffraction and the overlapping of depth planes, the SLAM is limited in its ability to image specimens with significant complexity in the depth direction. The Scanning Tomographic Acoustic Microscope (STAM) was proposed to overcome the limitations of the SLAM through the use of holography and tomography. The main objective of the present research is to implement the STAM to demonstrate feasibility and reconstruction improvement.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Chiao, Richard Y.

Contributors dc:contributor

• Lee, Hua

• Engineering, Electronics and Electrical

Statement dc:rights

• Copyright 1990 Chiao, Richard Y.

Language dc:language

eng

Identifier

AAI9114201
(UMI)AAI9114201

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/20965