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

Ghost cancellation algorithms for MRI images.

A Zakhor1

  • 1Dept. of Electr. Eng., California Univ., Berkeley, CA.

IEEE Transactions on Medical Imaging
|January 1, 1990
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

Resolution enhancement of color video sequences.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Bit allocation for joint source/channel coding of scalable video.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

View generation for three-dimensional scenes from video sequences.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1997
Same author

Deconvolution: a novel signal processing approach for determining activation time from fractionated electrograms and detecting infarcted tissue.

Circulation·1996
Same author

Halftone to continuous-tone conversion of error-diffusion coded images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1995
Same author

Orientation adaptive subband coding of images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1994
Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026
Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026
Same journal

The Ritz Adjoint Method for MRI Pulse Design.

IEEE transactions on medical imaging·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026
See all related articles

Ghost cancellation algorithms improve magnetic resonance imaging (MRI) by modeling readout gradient asymmetry. This method enhances image quality for medical applications, particularly in liver and heart scans.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Biophysics

Background:

  • Magnetic Resonance Imaging (MRI) is crucial for medical diagnostics.
  • Image artifacts, such as ghosting, can degrade MRI quality.
  • Ghosting in MRI arises from time delays and readout gradient asymmetry.

Purpose of the Study:

  • To develop and present ghost cancellation algorithms for restoring MRI images.
  • To model the physical basis of ghosting artifacts in MRI.
  • To improve the diagnostic accuracy of MRI through artifact reduction.

Main Methods:

  • Modeling ghosting using two phase functions for even and odd image lines.
  • Exploiting a priori information about phase functions for object density estimation.
  • Applying the ghost cancellation approach to clinical datasets.

Related Experiment Videos

Main Results:

  • Successful restoration of MRI images affected by ghosting artifacts.
  • Demonstration of the algorithm's effectiveness on liver and heart imaging.
  • Quantification of image quality improvement post-ghost cancellation.

Conclusions:

  • The proposed ghost cancellation method effectively restores MRI images.
  • This technique enhances the diagnostic utility of MRI for abdominal and cardiac imaging.
  • The approach offers a valuable tool for improving MRI quality in medical applications.