A method for assessing voxel correspondence in longitudinal tumor imaging
Jeremy D P Hoisak1, David A Jaffray
1Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 2M9, Canada. jeremy.hoisak@rmp.uhn.on.ca
Medical Physics
|July 23, 2011
Summary
This study introduces a novel method using local histogram similarity to accurately assess voxel correspondence in longitudinal tumor imaging. This approach enhances sensitivity to treatment response by overcoming registration uncertainties and intensity variations.
Area of Science:
- Medical Imaging
- Radiology
- Computational Biology
Background:
- Voxel-wise analysis of medical images aids tumor characterization and therapy response assessment.
- Registration uncertainties limit the accuracy of voxel-wise change detection in longitudinal studies.
- Existing methods struggle with intensity variations common in serial imaging.
Purpose of the Study:
- To develop and evaluate a multiresolution local histogram-based measure for assessing voxel correspondence strength in longitudinal tumor imaging.
- To determine the robustness of this measure against intensity variations and structural deformations.
- To compare the proposed method with normalized mutual information and normalized cross-correlation.
Main Methods:
- Rigid registration of T1-weighted (T1W) magnetic resonance (MR) images of glioblastoma.
- Evaluation of voxel similarity using multiresolution local histograms.
- Application of simulated intensity changes and structural deformations to assess measure robustness.
- Statistical analysis of interaction effects between perturbations and similarity function.
- Computation and comparison of pair-wise voxel similarity maps with conventional imaging observations.
Main Results:
- The local histogram measure demonstrated robustness to intensity modulations across varying region sizes.
- A strong negative correlation was observed between similarity and the magnitude of local deformation.
- No significant interaction effects were found between deformation and nonuniform intensity changes.
- Voxel similarity maps aligned with conventional imaging and revealed subtle changes.
Conclusions:
- A local histogram similarity measure effectively assesses voxel correspondence independent of intensity nonuniformities.
- This metric provides a local estimation of registration limits for longitudinal voxel-wise analysis.
- The method improves the assessment of tumor response to treatment in longitudinal imaging studies.
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