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Organ delineation using factor analysis on the Genisys preclinical PET system

机译:在Genisys临床前PET系统上使用因子分析进行器官描绘

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The Genisys preclinical PET imaging system suffers from relatively poor spatial resolution and reconstruction artifacts in the sagittal and transaxial planes due to limited angular sampling. This prevents reliable quantification and delineation of organs and tumors in close proximity. The use of factor analysis (FA) is proposed as a method to mitigate this effect by separation of structures into "factor" images. Two studies are performed The first study involved the application of FA on a synthetically created dynamic image in order to create factor curves. These factor curves were then compared to the synthetic curves used to create the synthetic image The second study applied FA to a dynamic image of tumor-bearing mouse The resulting factor images were assessed in order to determine how well the tumor was separated from other structures. The results from the first study displayed a very strong agreement between the synthetic curves and the factor curves. The second study displayed a prominent tumor presence within the two most significant factors. The results show promise for FA, but further research into optimal conditions must be performed
机译:由于有限的角度采样,Genisys临床前宠物成像系统的空间分辨率和重建伪像遭受了相对较差的空间分辨率和重建伪影。这可以防止近距离的可靠定量和描绘器官和肿瘤的划分。建议使用因子分析(FA)作为通过将结构分离成“因子”图像来减轻这种效果的方法。进行两项研究第一次研究涉及FA在合成创建的动态图像上应用FA以创建因子曲线。然后将这些因子曲线与用于创建合成图像的合成曲线进行比较,第二研究应用FA到肿瘤鼠标的动态图像进行评估,以确定肿瘤与其他结构分离的程度。第一研究的结果显示了合成曲线与因子曲线之间非常强烈的一致性。第二种研究在两个最重要的因素中显示出突出的肿瘤存在。结果显示了FA的承诺,但必须进行进一步研究最佳条件

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