人工智能用于PET和SPECT图像增强
Vibha Balaji1, Tzu-An Song1, Masoud Malekzadeh1
1Department of Biomedical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts; and.
概括
人工智能 (AI) 通过减少噪音和提高分辨率来增强PET和SPECT等医学成像. 本综述涵盖了用于图像增强的AI方法,重点关注监督和无监督的深度学习,以提高诊断准确度.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 图像处理 图像处理
背景情况:
- pozitron发射断层扫描 (PET) 和单光子发射计算机断层扫描 (SPECT) 的成像受到了噪声和低分辨率的影响.
- 重建后的图像增强对于提高核医学的质量和定量准确性至关重要.
结论:
- 人工智能在增强PET和SPECT图像方面显著有前途,有可能提高诊断准确度并减少患者负担.
- 需要对新型培训范式,更大的数据集和强大的临床评估进行进一步的研究,以获得完整的临床转化.
- 确保人工智能产生的图像改进转化为切实的临床益处是未来的关键方向.
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