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Total-Body PET/CT: A Role of Artificial Intelligence?
Qiyang Zhang1, Zhenxing Huang1, Yuxi Jin1
1The Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Artificial intelligence (AI) enhances total-body positron emission tomography/computed tomography (PET/CT) by improving image quality and diagnostic accuracy. This AI integration addresses challenges in handling large datasets, paving the way for more efficient medical diagnoses.
Area of Science:
- Medical Imaging
- Artificial Intelligence
- Radiology
Background:
- Total-body PET/CT scanners offer superior sensitivity and whole-body imaging in a single scan, revolutionizing medical diagnostics.
- Increased data volume and complexity from total-body PET/CT challenge traditional image processing methods.
Purpose of the Study:
- To provide an overview of artificial intelligence (AI) applications in total-body PET/CT.
- To highlight the impact of AI on medical imaging and diagnostic efficiency.
Main Methods:
- Review of current AI applications in total-body PET/CT.
- Analysis of AI's role in addressing data challenges and enhancing imaging capabilities.
Main Results:
- AI demonstrates significant potential in reducing radiation dose, refining dynamic imaging, improving quantitative analysis, and enhancing image quality.
- AI's increasing interpretability is accelerating its adoption in clinical practice.
Conclusions:
- AI and total-body PET/CT are a complementary match, improving diagnostic efficiency.
- AI is poised to reshape PET/CT use, enabling personalized healthcare and enhancing patient care.
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