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Virtual monoenergetic images and post-processing algorithms effectively reduce CT artifacts from intracranial
David Zopfs1, Simon Lennartz1,2, Lenhard Pennig1
1Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Scientific Reports
|April 22, 2020
Summary
Virtual monoenergetic imaging (VMI) and metal artifact reduction algorithms (MAR) significantly reduce artifacts from intracranial coils and clips. Combining VMI and MAR offers optimal artifact reduction for improved diagnostic assessment.
Area of Science:
- Medical Imaging
- Radiology
- Image Processing
Background:
- Intracranial coils and clips can cause significant artifacts in CT scans.
- Artifacts obscure surrounding tissues, hindering accurate diagnosis.
- Spectral-detector CT (SDCT) offers potential for artifact reduction.
Purpose of the Study:
- To evaluate artifact reduction using virtual monoenergetic images (VMI) and metal artifact reduction algorithms (MAR).
- To compare VMI, MAR, and their combination (VMIMAR) against conventional CT images (CI).
- To assess the impact on diagnostic quality of surrounding brain tissue.
Main Methods:
- Retrospective analysis of 35 patients undergoing SDCT with MAR reconstructions.
- Reconstruction of CI, VMI (100-200 keV), MAR, and VMIMAR.
- Objective analysis of attenuation values (HU) and visual assessment of artifact extent and diagnostic quality.
Main Results:
- VMI, MAR, and VMIMAR significantly reduced hypo- and hyperattenuating artifacts compared to CI.
- VMIMAR demonstrated significant reduction in both hypodense and hyperdense artifacts (p < 0.05).
- Diagnostic assessment of surrounding brain tissue was significantly improved with VMI, MAR, and VMIMAR.
Conclusions:
- The combination of VMI and MAR effectively reduces artifacts adjacent to intracranial coils and clips.
- These advanced techniques, when available, should be combined for optimal artifact reduction.
- Improved artifact reduction aids in better diagnostic assessment following intracranial procedures.
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