Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data

Abstract: 

The investigation of the performance of different Positron Emission Tomography (PET) reconstruction and motion compensation methods requires an accurate and realistic representation of the anatomy and motion trajectories as observed in real subjects during acquisitions. The generation of well- controlled clinical datasets is difficult due to the many different clinical protocols, scanner specifications, patient sizes and physiological variations. Alternatively, computational phantoms can be used to generate large datasets for different disease states, providing a ground truth. Several studies use registration of dynamic images to derive voxel deformations to create moving computational phantoms. These phantoms together with simulation software generate raw data. This paper proposes a method for the synthesis of dynamic PET data using a fast analytic method. This is achieved by incorporating realistic models of respiratory motion into a numerical phantom to generate datasets with continuous and variable motion with Magnetic Resonance Imaging (MRI)-derived motion modeling and high resolution MRI images. In this paper, datasets for two different clinical traces are presented, 18F-FDG and 68Ga-PSMA. This approach incorporates realistic models of respiratory motion to generate temporally and spatially correlated MRI and PET datasets, as those expected to be obtained from simultaneous PET-MRI acquisitions. 

Instructions: 

In the paper: "Polycarpou I, Soultanidis G and Tsoumpas C, 2017, Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data, IEEE Transactions on Medical Imaging, (DOI: 10.1109/TMI.2017.2768130) we presented a scheme to simulate realistic synthetic PET data of two different and widely used radiotracers using a combination of dynamic and static MRI acquisitions of healthy volunteers. The synthetic images and corresponding PET datasets are accessible via this link. 

 

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Citation Author(s):
Polycarpou I, Soultanidis G and Tsoumpas C
Submitted by:
IRENE POLYCARPOU
Last updated:
Sun, 02/04/2018 - 12:37
DOI:
10.21227/H21D3X
 
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[1] Polycarpou I, Soultanidis G and Tsoumpas C, "Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H21D3X. Accessed: Feb. 19, 2018.
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doi = {10.21227/H21D3X},
url = {http://dx.doi.org/10.21227/H21D3X},
author = {Polycarpou I; Soultanidis G and Tsoumpas C },
publisher = {IEEE Dataport},
title = {Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data},
year = {2018} }
TY - DATA
T1 - Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data
AU - Polycarpou I; Soultanidis G and Tsoumpas C
PY - 2018
PB - IEEE Dataport
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Polycarpou I, Soultanidis G and Tsoumpas C. (2018). Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data. IEEE Dataport. http://dx.doi.org/10.21227/H21D3X
Polycarpou I, Soultanidis G and Tsoumpas C, 2018. Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data. Available at: http://dx.doi.org/10.21227/H21D3X.
Polycarpou I, Soultanidis G and Tsoumpas C. (2018). "Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data." Web.
1. Polycarpou I, Soultanidis G and Tsoumpas C. Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H21D3X
Polycarpou I, Soultanidis G and Tsoumpas C. "Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data." doi: 10.21227/H21D3X