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首页> 外文期刊>Frontiers in Medicine >Model Corrected Blood Input Function to Compute Cerebral FDG Uptake Rates From Dynamic Total-Body PET Images of Rats in vivo
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Model Corrected Blood Input Function to Compute Cerebral FDG Uptake Rates From Dynamic Total-Body PET Images of Rats in vivo

机译:模型校正血液输入功能,从体内大鼠动态总体宠物图像计算大脑FDG摄取率

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摘要

Recently, we developed a three-compartment dual-output model that incorporates spillover (SP) and partial volume (PV) corrections to simultaneously estimate the kinetic parameters and model-corrected blood input function (MCIF) from dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) images of mouse heart in vivo . In this study, we further optimized this model and utilized the estimated MCIF to compute cerebral FDG uptake rates, K i , from dynamic total-body FDG PET images of control Wistar–Kyoto (WKY) rats and compared to those derived from arterial blood sampling in vivo . Dynamic FDG PET scans of WKY rats ( n = 5), fasted for 6 h, were performed using the Albira Si Trimodal PET/SPECT/CT imager for 60 min. Arterial blood samples were collected for the entire imaging duration and then fitted to a seven-parameter function. The 60-min list mode PET data, corrected for attenuation, scatter, randoms, and decay, were reconstructed into 23 time bins. A 15-parameter dual-output model with SP and PV corrections was optimized with two cost functions to compute MCIF. A four-parameter compartment model was then used to compute cerebral Ki. The computed area under the curve (AUC) and K i were compared to that derived from arterial blood samples. Experimental and computed AUCs were 1,893.53 ± 195.39 kBq min/cc and 1,792.65 ± 155.84 kBq min/cc, respectively ( p = 0.76). Bland–Altman analysis of experimental vs. computed K i for 35 cerebral regions in WKY rats revealed a mean difference of 0.0029 min ?1 (~13.5%). Direct (AUC) and indirect (Ki) comparisons of model computations with arterial blood sampling were performed in WKY rats. AUC and the downstream cerebral FDG uptake rates compared well with that obtained using arterial blood samples. Experimental vs. computed cerebral K i for the four super regions including cerebellum, frontal cortex, hippocampus, and striatum indicated no significant differences.
机译:最近,我们开发了一种三舱双输出模型,该模型包含溢出(SP)和部分体积(PV)校正,以同时估计动态2- [18F]氟的动态参数和模型校正的血液输入功能(MCIF)体内小鼠心脏的2-脱氧-D-Glucose正电子发射断层扫描(FDG PET)图像。在这项研究中,我们进一步优化了该模型,并利用估计的MCIF来计算脑FDG摄取率,K i,从控制Wistar-Kyoto(WKY)大鼠的动态全身FDG PET图像,并与来自动脉血液采样的那些相比在体内。使用Albira Si Trimodal PET / SPECT / SPECT / SPECT / CT成像仪进行6小时,进行6小时的WKY大鼠(n = 5)的动态FDG PET扫描60分钟。收集动脉血样,用于整个成像持续时间,然后装配到七参数功能。 60 min列表模式PET数据校正衰减,散射,随机和衰减,重建为23个时间箱。具有SP和PV校正的15个参数双输出模型进行了两种成本函数来计算MCIF。然后使用四个参数隔间模型来计算脑ki。将曲线(AUC)和K I下的计算区域与来自动脉血样的衍生物进行比较。实验性和计算的AUC分别为1,893.53±195.39 kBQ min / cc,分别为1,792.65±155.84 kbq min / cc(p = 0.76)。 Spry Distuments Vs的Bland-Altman分析Wky大鼠35只脑区的Complated K i显示出0.0029分钟的平均差异(〜13.5%)。直接(AUC)和间接(KI)模型计算与动脉血液取样的模型计算比较,在WKY大鼠中进行。 AUC和下游脑FDG吸收率与使用动脉血样获得的均匀相比。实验与计算的四个超级地区的脑k i,包括小脑,额叶,海马和纹状体,表明没有显着差异。

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