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Optimized acquisition protocols for dynamic cardiac SPECT imaging of rats with 123I-MIBG

机译:动态获取123I-MIBG大鼠心脏SPECT成像的最佳采集方案

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Our previous work in dynamic cardiac SPECT imaging of rats with 123I-MIBG showed that with a slow rotation camera (dual head acquisition with 90s per rotation and a 1s acquisition interval at each angle) we could accurately obtain the time activity curves (TACs) and estimate compartmental model parameters. However, the long acquisition time (usually exceeding 60 rotations) limits the throughput and the animal survival rate. The short acquisition interval (1s) can result in the poor photon statistics which increases the variance of the TACs even though it reduce the bias of the TACs. In this study, we tried to shorten the whole acquisition time, optimize the acquisition time interval at each projection view adaptively, while maintaining the estimation accuracy of the kinetic parameters through computer simulations studies. First, the original blood pool TAC (bTAC) was obtained by averaging the bTACs of 5 WKY rats acquired previously. The tissue TAC (tTAC) was the two-tissue compartmental model output with pre-defined kinetic parameters and the original bTAC as the input. Then we cut off the first n segments of 2s, 5s, 10s, 20s and 30s in the bTAC to mimic the acquisition intervals during the acquisition. The cut-off portions were extrapolated to form new bTACs. The relative entropy of the new bTAC and the original bTAC was calculated to decide the max segment number n that could be tolerable. The same segments were also cut off in the tTAC. Finally, the resultant bTACs and tTACs were truncated with acquisition lengths of 1.5, 3, 4.5, 9, 18, 36, and 72 mins and fit to the two-tissue compartment model to estimate the kinetic parameters (K1,k2,k3,k4). The Distribution Volume (DV) was calculated from the kinetic parameters. The percentage error (PE) between the estimated parameters and pre-defined parameters were calculated. The results showed that, to match the PE with the original protocol, the kinetic parameter K1 could be estimated with an acquisition time of 90s wi- h non-uniform acquisition protocols of 2s. The DV could be estimated with an acquisition time of 180s with non-uniform acquisition protocols of 5s.
机译:我们先前在123I-MIBG大鼠动态心脏SPECT成像中的工作表明,使用慢速旋转摄像头(每旋转90s的双头采集和每个角度1s的采集间隔),我们可以准确地获得时间活动曲线(TAC)和估计车厢模型参数。但是,较长的采集时间(通常超过60转)限制了生产量和动物存活率。较短的采集间隔(1s)可能会导致较差的光子统计量,这会增加TAC的方差,即使它会减小TAC的偏差。在这项研究中,我们试图缩短整个采集时间,自适应地优化每个投影视图的采集时间间隔,同时通过计算机仿真研究保持动力学参数的估计准确性。首先,通过平均5只先前获得的WKY大鼠的bTAC来获得原始血库TAC(bTAC)。组织TAC(tTAC)是具有预先定义的动力学参数和原始bTAC作为输入的两组织隔室模型输出。然后,我们在bTAC中剪切2s,5s,10s,20s和30s的前n个片段,以模拟采集过程中的采集间隔。切除的部分被外推以形成新的bTAC。计算新的bTAC和原始的bTAC的相对熵,以确定可以容忍的最大片段数n。在tTAC中也切除了相同的区段。最后,将截短的bTAC和tTAC截短长度为1.5、3、4.5、9、18、36和72分钟,并拟合到两个组织的隔室模型中,以估算动力学参数(K1,k2,k3,k4 )。由动力学参数计算分布体积(DV)。计算了估计参数和预定义参数之间的百分比误差(PE)。结果表明,为使​​PE与原始协议匹配,动力学参数K1的估计时间为90s,而非均匀的采集协议为2s。 DV的采集时间为180s,非均匀采集协议为5s。

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