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.
University of Illinois - Urbana-Champaign
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University of Illinois at Urbana-Champaign