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Published on: July 17, 2012
Effect of external fixation rod coupling in computed tomography.
Carlos A Peña-Solórzano1, Matthew R Dimmock2, David W Albrecht3
1Department of Medical Imaging and Radiation Sciences, Monash University, Wellington Rd, Clayton, Melbourne, VIC, 3800, Australia. carlos.penasolorzano@monash.edu.
External fixation devices can cause imaging artifacts in CT scans. Strategies like rod removal or repositioning, along with dual-energy CT and metal artifact reduction software, can minimize these distortions for better fracture assessment.
Area of Science:
- Orthopedic surgery
- Medical imaging
- Biomedical engineering
Background:
- External fixation devices are crucial for treating complex fractures and limb deformities.
- Computed tomography (CT) is used to assess fracture healing and plan interventions.
- Metal components in external fixators can cause significant artifacts in CT images, hindering accurate assessment.
Purpose of the Study:
- To systematically assess CT imaging performance with external fixation devices.
- To investigate how rod coupling in Ilizarov and hexapod frames distorts CT images.
- To evaluate the effectiveness of dual-energy CT (DECT) and metal artifact reduction software (MARS) in mitigating these distortions.
Main Methods:
- A fractured sheep leg model was used with a Discovery CT750 HD CT scanner.
- Systematic assessment of CT imaging performance with varying rod configurations.
- Investigation of dual-energy CT (DECT) and metal artifact reduction software (MARS) effects.
Main Results:
- Rod coupling in external fixation frames significantly distorts CT images.
- Minimizing rod coupling, by removing or repositioning rods, can reduce image artifacts.
- DECT and MARS reduce metal artifacts but can also affect tissue and bone differentiation.
Conclusions:
- Strategies exist to minimize CT artifacts caused by external fixation devices.
- Rod configuration adjustments and advanced CT techniques (DECT, MARS) can improve imaging quality.
- Careful consideration of artifact reduction methods is necessary to balance artifact reduction with accurate tissue visualization.
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