Interaction between noise suppression and inhomogeneity correction in MRI

Albert Montillo, Jayaram Udupa, Leon Axel, Dimitris Metaxas

Research output: Contribution to journalConference articlepeer-review

31 Scopus citations


While cardiovascular disease is the leading cause of death in most developed countries, SPAMM-MRI can reduce morbidity by facilitating patient diagnosis. An image analysis method with a high degree of automation is essential for clinical adoption of SPAMM-MRI. The degree of this automation is dependent on the amount of thermal noise and surface coil-induced intensity inhomogeneity that can be removed from the images. An ideal noise suppression algorithm removes thermal noise yet retains or enhances the strength of the edges of salient structures. In this paper, we quantitatively compare and rank several noise suppression algorithms in images from both normal and diseased subjects using measures of the residual noise and edge strength and the statistical significance levels and confidence intervals of these measures. We also investigate the interrelationship between inhomogeneity correction and noise suppression algorithms and compare the effect of the ordering of these algorithms. The variance of thermal noise does not tend to change with position; however, inhomogeneity correction increases noise variance in deep thoracic regions. We quantify the degree to which an inhomogeneity estimate can improve noise suppression and whether noise suppression can facilitate the identification of homogeneous tissue regions, and thereby, assist in inhomogeneity correction.

Original languageEnglish (US)
Pages (from-to)1025-1036
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5032 II
StatePublished - 2003
EventMedical Imaging 2003: Image Processing - San Diego, CA, United States
Duration: Feb 17 2003Feb 20 2003


  • Inhomogeneity correction
  • MRI
  • Surface coil
  • Thermal noise suppression

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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