提升核医学影像重建精度，助力精准治疗个性化
Progress in SPECT and PET Reconstruction for Theranostics: From Diagnosis to Therapy
- 融合多同位素成像与低计数数据处理技术
- 解决α放射性同位素成像中信号干扰难题
- 适合核医学、影像算法研究者参考
诊疗一体化策略通过诊断用放射性药物筛选患者，并利用匹配的治疗同位素监测疗效。该策略依赖于治疗前与治疗后影像的精确重建以实现患者分选与疗效监控。然而，传统重建方法面临多同位素成像中的交叉干扰以及α发射体成像时极低计数数据等挑战。此外，为充分发挥新型诊疗成像系统潜力，亟需先进的图像重建技术。本文综述了诊疗成像重建领域的最新进展，探讨关键挑战与未满足需求。
原文摘要 · Abstract (English)
The theranostic paradigm enables personalization of treatment by selecting patients with a diagnostic radiopharmaceutical and monitoring therapy using a matched therapeutic isotope. This strategy relies on accurate image reconstruction of both pretherapy and post-therapy images for patient selection and monitoring treatment. However, traditional reconstruction methods are hindered by challenges such as crosstalk in multi-isotope imaging and extremely low-count measurements data when imaging of alpha-emitting isotopes. Additionally, to fully realize the benefits of new imaging systems being developed for theranostic applications, advanced reconstruction techniques are needed. This review highlights recent progress and discusses critical challenges and unmet needs in theranostic image reconstruction.
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