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Iterative EM reconstruction of cardiac small animal PET images using system point spread function modelling and MAP with anatomical priors

机译:使用系统点传播函数建模和解剖前沿的迭代EM重建心脏小动物PET图像

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The goal of this work was to improve the image quality of small animal PET images by introducing in the reconstruction process the true system point spread function (PSF) and an anatomical image prior (MAP). The algorithm was tested on a mouse heart digital phantom (myocardium and ventricles) and on real acquired images of the Derenzo phantom and of a real mouse. For both the acquisitions two radiotracers were used, 18-FDG and 68Ga-chloride. A comparison between standard EM reconstruction and EM with PSF modelling and anatomical prior was performed. The system PSF was assumed to be a Gaussian function and its Full Width Half Maximum (FWHM) was modelled to be spatially variant in order to simulate the different spatial resolution inside the scanner field of view. A visual comparison of the images reconstructed with the standard EM and with the proposed image reconstruction method showed that the reconstructed images look much sharper and are very close to the true ones when using EM with PSF modelling and anatomical prior.
机译:这项工作的目标是通过在重建过程中引入真正的系统点传播功能(PSF)和解剖图像之前(MAP)来改善小动物PET图像的图像质量。算法在小鼠心脏数字幻像(心肌和脑室)上测试,并在真实获取的德伦琴幻影和真正的鼠标上的图像上。对于采集,使用两种放射性机关,18-FDG和68ga-氯化物。对PSF建模和解剖学进行标准EM重建和EM之间的比较。系统PSF被认为是高斯函数,并且其全宽半最大(FWHM)被建模为空间变体,以便在扫描仪视野中模拟不同的空间分辨率。用标准EM重建的图像和具有所提出的图像重建方法的图像的视觉比较显示,当使用PSF建模和解剖学时,重建的图像看起来更加锐利并且非常接近真实的图像。

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