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Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

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Published on: May 3, 2011

Image processing for a scanning acoustic microscope that measures amplitude and phase.

P A Reinholdtsen1, B T Khuri-Yakub

  • 1Edward L. Ginzton Lab., Stanford Univ., CA.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|January 1, 1991
PubMed
Summary

This study introduces advanced image processing for scanning acoustic microscopy (SAM), enabling phase measurement alongside amplitude. This enhances quantitative nondestructive evaluation (NDE) and improves subsurface imaging clarity.

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Area of Science:

  • Materials Science
  • Non-destructive Testing
  • Acoustic Microscopy

Background:

  • Traditional scanning acoustic microscopy (SAM) primarily measures signal amplitude.
  • Limited quantitative analysis and subsurface imaging capabilities exist with amplitude-only measurements.
  • Phase information in acoustic signals is often underutilized in conventional SAM.

Purpose of the Study:

  • To describe novel image-processing techniques for low-frequency SAM (3-10 MHz).
  • To leverage both amplitude and phase measurements for enhanced quantitative nondestructive evaluation (NDE).
  • To improve the resolution and clarity of subsurface feature imaging.

Main Methods:

  • Development of techniques to measure both amplitude and phase of reflected and transmitted acoustic signals.
  • Application of spatial filtering to digitized complex images to modify the point spread function.
  • Numerical defocusing of surface features to remove obscuring effects from subsurface images.

Main Results:

  • Achieved approximately 20% improvement in transverse resolution through spatial filtering.
  • Successfully corrected aberrations in images of subsurface features.
  • Demonstrated effective removal of surface roughness interference in subsurface imaging.

Conclusions:

  • Measuring both amplitude and phase in SAM significantly expands quantitative NDE capabilities.
  • Advanced image processing, including spatial filtering and numerical defocusing, enhances SAM's resolution and imaging fidelity.
  • The described techniques offer superior visualization of subsurface features by mitigating surface-related artifacts.