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.

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

STATISTICAL POSITRON EMISSION TOMOGRAPHY IMAGE RECONSTRUCTION: SYSTEM GEOMETRIC MODELS AND ITERATIVE ALGORITHMS

2002 ◽  
Vol 14 (02) ◽  
pp. 47-54 ◽  
Author(s):  
CHING-HAN HSU
Keyword(s):  
Positron Emission Tomography ◽  
Geometric Model ◽  
Iterative Algorithms ◽  
Emission Tomography ◽  
Physical Factors ◽  
System Matrix ◽  
Recovery Coefficient ◽  
Geometric Models ◽  
Positron Emission

Quantitative positron emission tomography (PET) using statistical techniques requires: (a) a system geometric model that represents the probability of detecting an emission from each image pixel at each detector-pair, and (b) an iterative algorithm that reconstructs image as quantitative measurements of radiotracer distribution in vivo. Conventional implementations of iterative reconstruction use system geometric models based either on linear interpolation or on computing the volume of intersection of detection tubes with each voxel, but these simple models ignore many important physical system factors, like depth dependent geometric sensitivity and spatially variant detector pair resolution. In this paper, we evaluate a more accurate system geometric model that includes these physical factors. In addition, implementation variation among different iterative algorithms is another factor that limits the performance. Here, we compare performance of filtered backprojection (FBP) with the ordered subsets expectation maximization (OSEM) algorithm and a maximum a posteriori (MAP) method using a Gibbs prior with convex potential functions. Using the contrast recovery coefficient (CRC) as a performance measurement, we conducted various phantom experiments to investigate how the choices of algorithm and system matrix affect reconstruction accuracy. The results of these studies show that all of the iterative methods tested produce superior CRCs than FBP at matched background variance. And the combination of the accurate system geometric model and MAP reconstruction algorithm outperforms the other statistical methods.

scholarly journals Development of a blood sample detector for multi-tracer positron emission tomography using gamma spectroscopy

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Carlos Velasco ◽  
Adriana Mota-Cobián ◽  
Jesús Mateo ◽  
Samuel España
Keyword(s):  
Positron Emission Tomography ◽  
Blood Sample ◽  
Pet Imaging ◽  
Spectroscopic Analysis ◽  
Gamma Spectroscopy ◽  
Emission Tomography ◽  
Blood Samples ◽  
Positron Emission

Abstract Background Multi-tracer positron emission tomography (PET) imaging can be accomplished by applying multi-tracer compartment modeling. Recently, a method has been proposed in which the arterial input functions (AIFs) of the multi-tracer PET scan are explicitly derived. For that purpose, a gamma spectroscopic analysis is performed on blood samples manually withdrawn from the patient when at least one of the co-injected tracers is based on a non-pure positron emitter. Alternatively, these blood samples required for the spectroscopic analysis may be obtained and analyzed on site by an automated detection device, thus minimizing analysis time and radiation exposure of the operating personnel. In this work, a new automated blood sample detector based on silicon photomultipliers (SiPMs) for single- and multi-tracer PET imaging is presented, characterized, and tested in vitro and in vivo. Results The detector presented in this work stores and analyzes on-the-fly single and coincidence detected events. A sensitivity of 22.6 cps/(kBq/mL) and 1.7 cps/(kBq/mL) was obtained for single and coincidence events respectively. An energy resolution of 35% full-width-half-maximum (FWHM) at 511 keV and a minimum detectable activity of 0.30 ± 0.08 kBq/mL in single mode were obtained. The in vivo AIFs obtained with the detector show an excellent Pearson’s correlation (r = 0.996, p < 0.0001) with the ones obtained from well counter analysis of discrete blood samples. Moreover, in vitro experiments demonstrate the capability of the detector to apply the gamma spectroscopic analysis on a mixture of 68Ga and 18F and separate the individual signal emitted from each one. Conclusions Characterization and in vivo evaluation under realistic experimental conditions showed that the detector proposed in this work offers excellent sensibility and stability. The device also showed to successfully separate individual signals emitted from a mixture of radioisotopes. Therefore, the blood sample detector presented in this study allows fully automatic AIFs measurements during single- and multi-tracer PET studies.

scholarly journals Correction to: In vivo imaging of early stages of rheumatoid arthritis by α5β1-integrin-targeted positron emission tomography

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Johannes Notni ◽  
Florian T. Gassert ◽  
Katja Steiger ◽  
Peter Sommer ◽  
Wilko Weichert ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Positron Emission Tomography ◽  
In Vivo Imaging ◽  
Emission Tomography ◽  
Early Stages ◽  
Positron Emission ◽  
Α5β1 Integrin

Following publication of the original article [1], the authors have reported an error in the ‘Histopathology’ (under ‘Materials and methods’) section of the article that compromises the reproducibility of the paper.

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