Reducing the effects of noise in MRI reconstruction

Rick Archibald, Anne Gelb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Fourier methods are a natural choice for reconstructing magnetic resonance images (MRI). Unfortunately, however, due to the many different tissues normally present in each scan, the Gibbs ringing artifact often hinders accurate reconstruction. These effects are exacerbated in the presence of random noise, which is inherent in MRI spectral data. Recently, numerical edge detection and reconstruction methods have been developed that effectively reduce the Gibbs oscillations while maintaining high resolution accuracy at the edges. This paper addresses the issue of noise in MRI reconstruction and its effects on the ability to recover the image. The numerical method we apply here not only recovers the images with very high accuracy, but it is also robust in the presence of noise.

Original languageEnglish (US)
Title of host publicationProceedings - International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)078037584X
StatePublished - 2002
EventIEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States
Duration: Jul 7 2002Jul 10 2002


OtherIEEE International Symposium on Biomedical Imaging, ISBI 2002
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


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