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Image registration framework for large-scale longitudinal MRI data sets: strategy and validation.

Istvan Csapo1, Christopher M Holland, Charles R G Guttmann

  • 1Center for Neurological Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.

Magnetic Resonance Imaging
|April 20, 2007
PubMed
Summary
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Concatenating multiple image registration transforms is a valid and efficient alternative to direct registration for longitudinal magnetic resonance imaging (MRI) analysis. This method accurately aligns intraindividual scans, even with brain atrophy.

Area of Science:

  • Medical Imaging
  • Neuroscience
  • Computational Anatomy

Background:

  • Advanced magnetic resonance imaging (MRI) studies necessitate transforming numerous images into a common space for analysis.
  • Directly calculating and applying transformations between all image pairs is computationally intensive.
  • An efficient alternative involves linking precomputed transforms between individual images.

Purpose of the Study:

  • To evaluate the feasibility and validity of concatenating image registration transforms for longitudinal MRI analysis.
  • To assess if linking sequential transforms can accurately align intraindividual MR images.

Main Methods:

  • A dataset of 10 multiple sclerosis patients with serial 1.5-T MRI scans was used.
  • Intrasubject registrations were performed stepwise between consecutive scans and directly to baseline.

Related Experiment Videos

  • Concatenated transforms were compared against direct registrations using image resampling and Pearson correlation.

    • Main Results:

    • Images resampled using direct and concatenated transforms showed high correlation with no significant differences.
    • Brain parenchymal fraction changes (brain atrophy) inversely correlated with image correspondence.
    • The method proved useful and valid for longitudinal analysis.

    Conclusions:

    • Concatenating multiple image registration transforms is a computationally efficient and valid approach.
    • This technique enables accurate longitudinal analysis of intraindividual MR images.
    • The findings support the use of transform concatenation in advanced MRI studies.