scholarly journals Correction of positron emission tomography maximum intensity projection image artifact using retro reconstruction method

2020 ◽  
Vol 35 (3) ◽  
pp. 235
Author(s):  
Harmandeep Singh ◽  
Nivedita Rana ◽  
Rakhee Vatsa ◽  
Ankit Watts ◽  
BhagwantRai Mittal
Keyword(s):  
Positron Emission Tomography ◽  
Maximum Intensity Projection ◽  
Maximum Intensity ◽  
Emission Tomography ◽  
Reconstruction Method ◽  
Maximum Intensity Projection Image ◽  
Image Artifact ◽  
Positron Emission ◽  
Projection Image

scholarly journals Preclinical dosimetry models and the prediction of clinical doses of novel positron emission tomography radiotracers

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Adam A. Garrow ◽  
Jack P. M. Andrews ◽  
Zaniah N. Gonzalez ◽  
Carlos A. Corral ◽  
Christophe Portal ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Human Studies ◽  
Emission Tomography ◽  
Whole Body ◽  
Preclinical Model ◽  
Reconstruction Method ◽  
Preclinical Research ◽  
Reconstruction Methods ◽  
Positron Emission ◽  
Pet Radiotracers

Abstract Dosimetry models using preclinical positron emission tomography (PET) data are commonly employed to predict the clinical radiological safety of novel radiotracers. However, unbiased clinical safety profiling remains difficult during the translational exercise from preclinical research to first-in-human studies for novel PET radiotracers. In this study, we assessed PET dosimetry data of six 18F-labelled radiotracers using preclinical dosimetry models, different reconstruction methods and quantified the biases of these predictions relative to measured clinical doses to ease translation of new PET radiotracers to first-in-human studies. Whole-body PET images were taken from rats over 240 min after intravenous radiotracer bolus injection. Four existing and two novel PET radiotracers were investigated: [18F]FDG, [18F]AlF-NOTA-RGDfK, [18F]AlF-NOTA-octreotide ([18F]AlF-NOTA-OC), [18F]AlF-NOTA-NOC, [18F]ENC2015 and [18F]ENC2018. Filtered-back projection (FBP) and iterative methods were used for reconstruction of PET data. Predicted and true clinical absorbed doses for [18F]FDG and [18F]AlF-NOTA-OC were then used to quantify bias of preclinical model predictions versus clinical measurements. Our results show that most dosimetry models were biased in their predicted clinical dosimetry compared to empirical values. Therefore, normalization of rat:human organ sizes and correction for reconstruction method biases are required to achieve higher precision of dosimetry estimates.

scholarly journals Image reconstruction method for dual-isotope positron emission tomography

2021 ◽  
Vol 16 (01) ◽  
pp. P01035-P01035
Author(s):  
T. Fukuchi ◽  
M. Shigeta ◽  
H. Haba ◽  
D. Mori ◽  
T. Yokokita ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Image Reconstruction ◽  
Emission Tomography ◽  
Reconstruction Method ◽  
Dual Isotope ◽  
Positron Emission ◽  
Image Reconstruction Method

scholarly journals Image Reconstruction in the Positron Emission Tomography

2012 ◽  
Vol 20 ◽  
pp. 73
Author(s):  
M. Zioga ◽  
A. Nikopoulou ◽  
M. Alexandridi ◽  
D. Maintas ◽  
M. Mikeli ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Image Reconstruction ◽  
Iterative Algorithms ◽  
Nuclear Imaging ◽  
Emission Tomography ◽  
Reconstruction Method ◽  
Positron Emission ◽  
Volume Of Interest ◽  
Image Reconstruction Method

Positron Emission Tomography (PET) has become a valuable tool with a broad spectrum of clinical applications in nuclear imaging. PET scanners can collect in vivo information from positron radiotracer distributions, which is further recon- structed to a tomographic image with the help of well established analytical or iterative algorithms. In this current work, an innovative PET image reconstruction method from raw data based on a simple mathematical model is presented. The developed technique utilizes the accumulated density distribution in a predefined voxelized volume of interest. This distribution is calculated by intersecting and weighting the two-gamma annihilation line with the specified voxels. In order to test the efficiency of the new algorithm, GEANT4/GATE simulation studies were performed. In these studies, a cylindrical PET scanner was modeled and the photon interaction points are validated on an accurate physical basis. An appropriate cylin- drical phantom with different positron radiotracers was used and the reconstructed results were compared to the original phantom.

Sign in / Sign up

Export Citation Format

Share Document