Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A regional convolution kernel algorithm for scatter correction in dual-energy images: comparison to single-kernel

D G Kruger1, F Zink, W W Peppler

  • 1University of Wisconsin, Madison 53792.

Medical Physics
|February 1, 1994
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Quantification of Blood Velocity with 4D Digital Subtraction Angiography Using the Shifted Least-Squares Method.

AJNR. American journal of neuroradiology·2018
Same author

Colonization and demographic expansion of freshwater fauna across the Hawaiian archipelago.

Journal of evolutionary biology·2016
Same author

Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence.

Translational psychiatry·2015
Same author

Comparison of Two High-End Ultrasound Systems for Contrast-Enhanced Ultrasound Quantification of Mural Microvascularity in Crohn's Disease.

Ultraschall in der Medizin (Stuttgart, Germany : 1980)·2015
Same author

Experimental realization of fluence field modulated CT using digital beam attenuation.

Physics in medicine and biology·2014
Same author

Genomic analysis of Xanthomonas oryzae isolates from rice grown in the United States reveals substantial divergence from known X. oryzae pathovars.

Applied and environmental microbiology·2011
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

A new dual-kernel scatter correction algorithm improves scatter estimation accuracy in medical imaging. This method, using regionally variable point-spread functions (PSFs), significantly reduces errors compared to single-kernel approaches.

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Processing

Background:

  • Single kernel scatter correction algorithms rely on a spatially invariant point-spread function (PSF) model.
  • Practical limitations, such as an unknown primary intensity (Iprim), necessitate using total detected intensity (Idet) as a substitute, leading to scatter overestimation in high scatter fraction (SF) regions.
  • This overestimation causes significant errors in scatter estimation, particularly in areas like the mediastinum.

Purpose of the Study:

  • To investigate a scatter correction technique using a regionally variable point-spread function (PSF).
  • To reduce the root-mean-square (RMS) error in primary image estimation compared to the single PSF method.
  • To compare various implementations of the regionally variable convolution method and assess their effectiveness in accounting for patient differences.

Related Experiment Videos

Main Methods:

  • Developed a dual-kernel scatter correction algorithm employing regionally variable PSFs.
  • Applied larger PSFs in the mediastinum and smaller PSFs in the lungs to improve scatter estimation.
  • Expanded methods to accommodate patient-specific variations and compared different implementations.

Main Results:

  • The dual-kernel algorithm demonstrated superior effectiveness over equivalent single-kernel algorithms.
  • Achieved an overall RMS error in the primary image of 20.8% (equivalent to 8.7% RMS error in scatter) using a predicted scatter fraction curve.
  • The dual-kernel method with a predicted scatter fraction curve closely matched the accuracy of single-kernel methods using patient-specific scatter measurements.

Conclusions:

  • The dual-kernel algorithm significantly reduces RMS error in scatter estimation compared to single-kernel methods.
  • This approach offers a preferable alternative to patient-specific scatter measurements for clinical applications.
  • The dual-kernel algorithm, utilizing region-specific kernels and a variable scatter fraction curve, provides a more accurate and clinically viable scatter correction solution.