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Comparison and evaluation of retrospective intermodality brain image registration techniques
J West1, J M Fitzpatrick, M Y Wang
1Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
Journal of Computer Assisted Tomography
|July 1, 1997
Summary
Blinded evaluation of retrospective image registration techniques showed potential for satisfactory results. However, visual inspection is crucial to prevent significant errors in neurosurgical applications.
Area of Science:
- Medical Imaging
- Neurosurgery
- Image Registration
Background:
- Accurate image registration is vital for neurosurgical planning and guidance.
- Retrospective image registration methods are widely used but require rigorous evaluation.
Purpose of the Study:
- To conduct a blinded evaluation of retrospective image registration techniques.
- To compare retrospective registration accuracy with a prospective, marker-based gold standard.
- To assess the impact of geometrical distortion correction in MR images on registration accuracy.
Main Methods:
- Utilized CT, MR, and PET image volumes from neurosurgery patients with fiducial markers.
- Removed markers and provided anonymized data to external collaborators for retrospective registration.
- Evaluated registration accuracy using Target Registration Error (TRE) at multiple volumes of interest (VOIs).
Main Results:
- Presented statistics on TRE for various retrospective registration techniques.
- Provided descriptions of each technique, including preparation and execution times.
- Quantified registration errors before and after geometrical distortion correction in MR images.
Conclusions:
- Retrospective image registration techniques can yield satisfactory results in many neurosurgical cases.
- Visual inspection of retrospective registrations is essential to identify and mitigate potential large errors.
- Geometrical distortion correction may influence the accuracy of MR image registration.