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

机译:用〜(123)I-MIBG大鼠动态心脏SPECT成像的优化采集协议

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Our previous work in dynamic cardiac SPECT imaging of rats with ~(123)I-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 (K_1,k_2,k_3,k_4). 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 K_1 could be estimated with an acquisition time of 90s with 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:我们以前的动态心脏SPECT成像与〜(123)I-MIBG的动态心脏成像表明,通过缓慢的旋转相机(双头采集,每个旋转90秒和每个角度的1s采集间隔),我们可以准确地获得时间活动曲线(TACS)和估算分区模型参数。然而,长采集时间(通常超过60次旋转)限制了产量和动物存活率。短收集间隔(1S)可以导致光子统计值差,这增加了TAC的方差,即使它减少了TAC的偏差。在本研究中,我们尝试缩短整个采集时间,自适应地优化每个投影视图的采集时间间隔,同时通过计算机模拟研究保持动力学参数的估计精度。首先,通过平均先前获得的5种WKY大鼠的BTAC获得原始血液池TAC(BTAC)。组织TAC(TTAC)是双组织隔间模型输出,具有预定义的动力学参数和原始BTAC作为输入。然后,我们在BTAC中切断了2S,5S,10S,20S和30S的第2段,以在采集期间模拟采集间隔。截止部分被推断以形成新的BTAC。计算新BTAC和原始BTAC的相对熵以确定可以容忍的最大段号n。在TTAC中也切断了相同的段。最后,将得到的BTAC和TTACs被截短1.5,3,4.5,9,18,36和72分钟,并符合双组织隔间模型以估计动力学参数(K_1,K_2,K_3,K_4 )。分配量(DV)由动力学参数计算。计算估计参数和预定义参数之间的百分比误差(PE)。结果表明,为了将PE与原始方案匹配,可以通过90S的采集时间估计动力学参数K_1,其具有2S的非均匀采集协议。可以用180S的获取时间估计DV,其中不均匀的采集协议为5S。

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