An improved optimal image sampling schedule for multiple ROIS in dynamic SPECT

被引：0
|
作者：
Wen, LF [1 ]
Eberl, S [1 ]
Feng, DG [1 ]
Bai, J [1 ]
机构：
[1] Tsinghua Univ, Dept Biomed Engn, Beijing 100084, Peoples R China
来源：
MODELLING AND CONTROL IN BIOMEDICAL SYSTEMS 2003 (INCLUDING BIOLOGICAL SYSTEMS) | 2003年
关键词：
sampling intervals; Monte Carlo simulation; parameter estimation; physiological model; quantitative analysis;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
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-I-123-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.
引用
收藏
页码：139 / 143
页数：5
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