Accurate Template-Based Correction of Brain MRI Intensity Distortion with Application to Dementia and Aging

C. Studholme, V. Cardenas, E. Song, F. Ezekiel, A. Maudsley, M. Weiner

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


This paper examines an alternative approach to separating magnetic resonance imaging (MRI) intensity inhomogeneity from underlying tissue-intensity structure using a direct template-based paradigm. This permits the explicit spatial modeling of subtle intensity variations present in normal anatomy which may confound common retrospective correction techniques using criteria derived from a global intensity model. A fine-scale entropy driven spatial normalisation procedure is employed to map intensity distorted MR images to a tissue reference template. This allows a direct estimation of the relative bias field between template and subject MR images, from the ratio of their low-pass filtered intensity values. A tissue template for an aging individual is constructed and used to correct distortion in a set of data acquired as part of a study on dementia. A careful validation based on manual segmentation and correction of nine datasets with a range of anatomies and distortion levels is carried out. This reveals a consistent improvement in the removal of global intensity variation in terms of the agreement with a global manual bias estimate, and in the reduction in the coefficient of intensity variation in manually delineated regions of white matter.

Original languageEnglish (US)
Pages (from-to)99-110
Number of pages12
JournalIEEE Transactions on Medical Imaging
Issue number1
StatePublished - Jan 2004


  • B-Spline
  • Bias field
  • Image warping
  • Normalized mutual information
  • Template matching

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics


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