Consistency of parametric registration in serial MRI studies of brain tumor progression

  • Andreas Mang
  • Julia A. Schnabel
  • William R. Crum
  • Marc Modat
  • Oscar Camara-Rey
  • Christoph Palm
  • Gisele Brasil Caseiras
  • H. Rolf Jäger
  • Sébastien Ourselin
  • Thorsten M. Buzug
  • David J. Hawkes
Review Article

Abstract

Object

The consistency of parametric registration in multi-temporal magnetic resonance (MR) imaging studies was evaluated.

Materials and methods

Serial MRI scans of adult patients with a brain tumor (glioma) were aligned by parametric registration. The performance of low-order spatial alignment (6/9/12 degrees of freedom) of different 3D serial MR-weighted images is evaluated. A registration protocol for the alignment of all images to one reference coordinate system at baseline is presented. Registration results were evaluated for both, multimodal intra-timepoint and mono-modal multi-temporal registration. The latter case might present a challenge to automatic intensity-based registration algorithms due to ill-defined correspondences. The performance of our algorithm was assessed by testing the inverse registration consistency. Four different similarity measures were evaluated to assess consistency.

Results

Careful visual inspection suggests that images are well aligned, but their consistency may be imperfect. Sub-voxel inconsistency within the brain was found for allsimilarity measures used for parametric multi-temporal registration. T1-weighted images were most reliable for establishing spatial correspondence between different timepoints.

Conclusions

The parametric registration algorithm is feasible for use in this application. The sub-voxel resolution mean displacement error of registration transformations demonstrates that the algorithm converges to an almost identical solution for forward and reverse registration.

Keywords

Inverse registration consistency Parametric serial MR image registration Tumor disease progression 

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Copyright information

© CARS 2008

Authors and Affiliations

  • Andreas Mang
    • 1
  • Julia A. Schnabel
    • 2
    • 5
  • William R. Crum
    • 2
    • 6
  • Marc Modat
    • 2
  • Oscar Camara-Rey
    • 2
    • 7
  • Christoph Palm
    • 3
  • Gisele Brasil Caseiras
    • 4
  • H. Rolf Jäger
    • 4
  • Sébastien Ourselin
    • 2
  • Thorsten M. Buzug
    • 1
  • David J. Hawkes
    • 2
  1. 1.Institute of Medical EngineeringUniversity of LübeckLübeckGermany
  2. 2.Centre for Medical Image ComputingUniversity College LondonLondonUK
  3. 3.Institute of Neuroscience and Biophysics 3Medicine Research Centre JülichJülichGermany
  4. 4.Institute of NeuroradiologyUniversity College LondonLondonUK
  5. 5.Institute of Biomedical Engineering, Department of Engineering ScienceUniversity of OxfordOxfordUK
  6. 6.Centre for Neuro Imaging Sciences, Institute of PsychiatryKing’s College LondonLondonUK
  7. 7.Center for Computational Imaging and Simulation Technologies in BiomedicineUniversitat Pompeu FabraBarcelonaSpain

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