C-arm orbits for metal artifact avoidance (MAA) in cone-beam CT
P Wu1, N Sheth1, A Sisniega1
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America.
Metal artifact avoidance (MAA) method optimizes C-arm orbits for cone-beam CT, significantly reducing artifacts from surgical implants. This technique improves visualization for image-guided surgery without needing prior implant information.
Area of Science:
- Medical Imaging
- Radiological Physics
- Surgical Navigation
Background:
- Metal artifacts in cone-beam CT (CBCT) hinder visualization of surgical instruments and anatomy.
- These artifacts are particularly problematic in image-guided surgery, obscuring critical regions of interest.
- Existing methods often struggle with the complexity and variability of metal implants.
Purpose of the Study:
- To develop and evaluate a novel method for reducing metal artifacts in CBCT image-guided surgery.
- To prospectively define C-arm source-detector orbits that mitigate metal-induced biases in projection data.
- To ensure compatibility with existing reconstruction and post-processing techniques.
Main Methods:
- The Metal Artifact Avoidance (MAA) method involves: (i) localizing metal objects using low-dose scout views and segmentation, (ii) predicting metal-induced X-ray spectral shifts, and (iii) identifying optimal circular or non-circular C-arm orbits.
- The method was tested using digital simulations, phantom experiments, and cadaveric spine surgery models.
- It is compatible with filtered backprojection (FBP), model-based image reconstruction (MBIR), and metal artifact reduction (MAR) post-processing.
Main Results:
- MAA accurately predicted orbits that reduced metal artifact magnitude in CBCT reconstructions.
- Metal instrumentation was localized with a 0.71 median Dice coefficient from scout views.
- Tilted circular orbits reduced RMSE by 46%-70% and blooming artifacts by 20-45%.
- Non-circular orbits achieved an additional ~46% RMSE reduction compared to circular orbits.
Conclusions:
- The MAA method provides a practical approach to predict C-arm orbits that minimize spectral bias caused by metal instrumentation.
- Optimized orbits, including complex non-circular paths, substantially reduce metal artifacts in raw CBCT data.
- The improved projection data enhance subsequent MAR post-processing and MBIR for further artifact reduction.
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