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AN IMPROVED OPTIMAL IMAGE SAMPLING SCHEDULE FOR MULTIPLE ROIS IN DYNAMIC SPECT

机译:动态区域中多个Rois的改进的最佳图像采样计划

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摘要

Optimal image sampling schedule (OISS) has been applied successfully to dynamic images for positron emission tomography (PET) with improved parameter estimation precision and significantly decreased image storage and processing requirements. OISS is usually based on one average curve for tissue, and the performance of OISS is still unclear when multiple regions of interest are considered in clinical diagnosis. An improved OISS is investigated with a modified objective function through a simulated study of the tracer 5-~(123)I-iodo-A-85380. The study shows that the improved OISS is at least as efficient in providing the accuracy and precision of parameter estimates as conventional and traditional OISS.
机译:最佳图像采样计划(OISS)已成功应用于正电子发射断层扫描(PET)的动态图像,具有改进的参数估计精度并显着降低了图像存储和处理要求。 OISS通常基于组织的一条平均曲线,并且在临床诊断中考虑多个目标区域时,OISS的性能仍不清楚。通过对示踪剂5-〜(123)I-iodo-A-85380的模拟研究,研究了一种具有改进的目标函数的改进的OISS。研究表明,改进的OISS在提供参数估计的准确性和精确度方面至少与传统OISS和传统OISS一样有效。

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