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Related Concept Videos

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...

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Related Experiment Video

Updated: Jun 25, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

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Scatter and blurring compensation in inhomogeneous media using a postprocessing method.

Yan Yan1, Gengsheng L Zeng

  • 1Department of Radiology, Utah Center for Advanced Imaging Research, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108, USA. henryyan@physics.utah.edu

International Journal of Biomedical Imaging
|March 12, 2009
PubMed
Summary
This summary is machine-generated.

A new postprocessing technique effectively corrects scattering and blurring in Single Photon Emission Computed Tomography (SPECT) images. This method improves image quality and accuracy significantly, offering a faster alternative to iterative approaches.

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Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
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Last Updated: Jun 25, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Processing

Background:

  • Scattering and blurring degrade image quality in Single Photon Emission Computed Tomography (SPECT).
  • Inhomogeneous media exacerbate these effects, complicating image reconstruction.
  • Accurate compensation is crucial for reliable quantitative analysis in SPECT.

Purpose of the Study:

  • To develop an efficient postprocessing method for compensating scattering and blurring in SPECT.
  • To model combined physical effects using a two-dimensional point spread function (2D-PSF).
  • To validate the method's efficacy in improving image quality and quantitative accuracy.

Main Methods:

  • Estimated a 2D-PSF in the image domain to model scattering and blurring.
  • Fitted the 2D-PSF with an asymmetric Gaussian function using Monte Carlo simulations.
  • Applied a blurring and deconvolution technique to restore images from the spatially variant 2D-PSF kernel.
  • Validated the method using NCAT and Jaszczak phantoms.

Main Results:

  • Achieved a 25% increase in image contrast compared to uncompensated images.
  • Reduced quantitative error by 40% compared to uncompensated images.
  • Demonstrated improved image quality and accuracy.

Conclusions:

  • The proposed postprocessing method efficiently compensates for scattering and blurring in SPECT.
  • The technique offers a significant improvement in image contrast and quantitative accuracy.
  • This method provides a time-efficient alternative to iterative techniques, with execution times within clinical limits.