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Improving Image Quality of Chest Radiography with Artificial Intelligence-Supported Dual-Energy X-Ray Imaging System:
Sung-Hyun Yoon1, Jihang Kim1, Junghoon Kim1
1Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si 13620, Republic of Korea.
Journal of Clinical Medicine
|March 27, 2025
Summary
Dual-energy X-ray imaging with AI (DE-AI) significantly improves chest radiograph image quality compared to conventional methods. DE-AI enhances visualization of both soft tissues and bones in the chest.
Area of Science:
- Radiology
- Medical Imaging
- Artificial Intelligence
Background:
- Conventional chest radiography is a standard diagnostic tool.
- Image quality limitations can affect diagnostic accuracy.
- Advancements in imaging technology are sought to improve visualization.
Purpose of the Study:
- To compare the image quality of dual-energy X-ray imaging with AI (DE-AI) against conventional chest radiography.
- To evaluate the effectiveness of AI in enhancing specific tissue visualizations (soft tissue and bone).
Main Methods:
- Prospective study involving 52 healthy volunteers.
- Dual-energy chest radiography acquired at 60 kVp and 120 kVp.
- AI algorithms used for image enhancement, noise reduction, and artifact minimization.
- Radiologist evaluation of 13 anatomical regions using a preference scale.
Main Results:
- Radiologists preferred DE-AI images over conventional radiographs.
- Enhanced standard DE-AI images showed superior quality in 9 of 13 regions.
- DE-AI bone-selective images were significantly preferred in 4 of 5 bone regions.
- DE-AI soft-tissue-selective images were significantly preferred in 3 of 8 soft-tissue regions.
Conclusions:
- DE-AI technology offers superior visualization of thoracic structures compared to conventional radiography.
- AI-enhanced dual-energy imaging represents a significant advancement in chest imaging.
- Improved visualization has the potential to enhance diagnostic capabilities.
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