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Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series
Giovanni A Buonaccorsi1, Caleb Roberts, Sue Cheung
1Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK. giob@manchester.ac.uk
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|May 12, 2006
Summary
Motion during dynamic contrast-enhanced MRI causes errors. A new model-driven registration method improves accuracy and reduces variability in quantitative DCE-MRI studies.
Area of Science:
- Medical Imaging
- Biophysics
- Quantitative MRI
Background:
- Motion artifacts during dynamic contrast-enhanced (DCE) MRI acquisition can lead to significant model-fitting errors.
- Conventional registration methods may be biased due to the time-varying nature of contrast enhancement in DCE-MRI data.
Purpose of the Study:
- To develop and evaluate a novel motion correction technique for abdominal DCE-MRI data.
- To improve the accuracy and reduce variability in quantitative parameter estimation in DCE-MRI studies.
Main Methods:
- A locally-controlled, 3D translational registration process driven by tracer kinetic modeling was developed.
- The model-driven registration was compared to registration to the time-series mean image using data from 8 patients.
Main Results:
- Model-driven registration significantly improved model-fitting compared to conventional methods.
- This approach influenced parameter estimates and reduced variability in blood volume measurements for repeat studies.
Conclusions:
- Tracer kinetic modeling-driven registration is a superior method for correcting motion artifacts in high-temporal-resolution abdominal DCE-MRI.
- This technique enhances the reliability and accuracy of quantitative DCE-MRI analysis.
