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Metallic Component Preserving Algorithm Based on the Cerebral Computed Tomography Angiography in Aneurysm Surgery.
Jina Shim1, Su Hwan Lee2, Youngjin Lee3
1Department of Radiology and Research, Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.
Diagnostics (Basel, Switzerland)
|February 25, 2022
Summary
This study introduces a new method for visualizing metallic components like clips and coils in cerebral computed tomography angiography (CTA) scans. The technique effectively prevents data loss, improving diagnostic accuracy for aneurysm patients.
Area of Science:
- Medical Imaging
- Radiology
- Computational Imaging
Background:
- Cerebral computed tomography angiography (CTA) is crucial for diagnosing aneurysms.
- Metallic artifacts from surgical implants (clips, coils) can obscure critical details in CTA.
- Existing bone subtraction CTA (BS-CTA) methods may struggle with accurate metallic component visualization.
Purpose of the Study:
- To investigate a novel method for preventing the loss of metallic components in cerebral CTA.
- To enhance the visualization of surgical clips and coils in CTA datasets.
- To assess the accuracy and applicability of the proposed method within conventional BS-CTA systems.
Main Methods:
- The proposed method builds upon conventional bone subtraction CTA (BS-CTA).
- Metallic component positions are identified using thresholding and region of interest (ROI) selection.
- Otsu's method is employed for optimal thresholding to separate background and target materials.
- Three-dimensional (3D) rendering is performed on the processed BS-CTA data.
Main Results:
- The proposed BS-CTA method successfully visualized metallic components across diverse patient cases.
- Quantitative analysis showed a high mean Dice Similarity Coefficient (DSC) of 0.93 (±0.05).
- The mean Bidirectional Hausdorff Distance (HD) was 1.50 voxels (±0.58), indicating precise localization.
Conclusions:
- The developed method effectively segments metallic components in cerebral CTA.
- This technique integrates seamlessly with existing conventional BS-CTA systems.
- The findings support the proposed method's viability for improving metallic artifact management in CTA.
