Hybrid PET/MR Kernelised Expectation Maximisation Reconstruction for Improved Image-Derived Estimation of the Input Function from the Aorta of Rabbits

Contrast Media & Molecular Imaging
Daniel DeiddaCharalampos Tsoumpas

Abstract

Positron emission tomography (PET) provides simple noninvasive imaging biomarkers for multiple human diseases which can be used to produce quantitative information from single static images or to monitor dynamic processes. Such kinetic studies often require the tracer input function (IF) to be measured but, in contrast to direct blood sampling, the image-derived input function (IDIF) provides a noninvasive alternative technique to estimate the IF. Accurate estimation can, in general, be challenging due to the partial volume effect (PVE), which is particularly important in preclinical work on small animals. The recently proposed hybrid kernelised ordered subsets expectation maximisation (HKEM) method has been shown to improve accuracy and contrast across a range of different datasets and count levels and can be used on PET/MR or PET/CT data. In this work, we apply the method with the purpose of providing accurate estimates of the aorta IDIF for rabbit PET studies. In addition, we proposed a method for the extraction of the aorta region of interest (ROI) using the MR and the HKEM image, to minimise the PVE within the rabbit aortic region-a method which can be directly transferred to the clinical setting. A realistic simulation st...Continue Reading

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Citations

Apr 3, 2020·Arteriosclerosis, Thrombosis, and Vascular Biology·Claudia CalcagnoZahi A Fayad
Nov 18, 2020·Molecular Imaging and Biology : MIB : the Official Publication of the Academy of Molecular Imaging·David Rey-BretalPablo Aguiar
May 11, 2021·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Daniel DeiddaCharalampos Tsoumpas

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Software Mentioned

STIR
ITK
SNAP
KEM
HKEM
OSEM

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