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Related Experiment Video

Updated: May 14, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Reliable estimation of virtual source position for SAFT imaging.

Chih-Hsiung Chang1, Young-Fo Chang, Yushieh Ma

  • 1Institute of Applied Geophysics, National Chung Cheng University, Chiayi, Taiwan.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|January 30, 2013
PubMed
Summary
This summary is machine-generated.

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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...

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This study proposes using paraxial rays for virtual source estimation in synthetic aperture focusing technique (SAFT) imaging. This method improves axial resolution and signal-to-noise ratio (SNR) in flaw detection.

Area of Science:

  • Non-destructive testing
  • Ultrasonic imaging
  • Materials science

Background:

  • Synthetic aperture focusing technique (SAFT) is crucial for flaw imaging in immersion testing.
  • Accurate virtual source positioning is essential for SAFT performance.
  • Focal spot aberration often hinders precise virtual source determination.

Purpose of the Study:

  • To propose a novel method for virtual source position estimation in SAFT.
  • To enhance the accuracy and reliability of SAFT imaging.
  • To improve the axial resolution and signal-to-noise ratio (SNR) of reconstructed images.

Main Methods:

  • Analysis of energy radiated from focused transducers.
  • Investigation of refracted ultrasound energy with varying incident angles.

Related Experiment Videos

Last Updated: May 14, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

  • Utilizing paraxial rays for virtual source estimation in SAFT.
  • Main Results:

    • Paraxial rays provide a more reliable estimation of the virtual source position.
    • The proposed method significantly improves axial resolution in SAFT images.
    • Enhanced signal-to-noise ratio (SNR) is achieved in the reconstructed flaw images.

    Conclusions:

    • Paraxial ray-based virtual source estimation is superior for SAFT.
    • This approach mitigates issues caused by focal spot aberration and interface effects.
    • The technique offers improved sensitivity and accuracy in ultrasonic flaw detection.