scholarly journals Estimation of optimal number of gates in dual gated 18F-FDG cardiac PET

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
R. Klén ◽  
J. Teuho ◽  
T. Noponen ◽  
K. Thielemans ◽  
E. Hoppela ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Hot Spot ◽  
Optimal Number ◽  
Emission Tomography ◽  
Motion Model ◽  
Cardiac Pet ◽  
Positron Emission ◽  
Small Targets ◽  
Patient Studies ◽  
Selection Of

Abstract Gating of positron emission tomography images has been shown to reduce the motion effects, especially when imaging small targets, such as coronary plaques. However, the selection of optimal number of gates for gating remains a challenge. Selecting too high number of gates results in a loss of signal-to-noise ratio, while too low number of gates does remove only part of the motion. Here, we introduce a respiratory-cardiac motion model to determine the optimal number of respiratory and cardiac gates. We evaluate the model using a realistic heart phantom and data from 12 cardiac patients (47–77 years, 64.5 on average). To demonstrate the benefits of our model, we compared it with an existing respiratory model. Based on our study, the optimal number of gates was determined to be five respiratory and four cardiac gates in the phantom and patient studies. In the phantom study, the diameter of the most active hot spot was reduced by 24% in the dual gated images compared to non-gated images. In the patient study, the thickness of myocardium wall was reduced on average by 21%. In conclusion, the motion model can be used for estimating the optimal number of respiratory and cardiac gates for dual gating.

Motion correction in PET/CT

2005 ◽  
Vol 44 (S 01) ◽  
pp. S46-S50 ◽  
Author(s):  
M. Dawood ◽  
N. Lang ◽  
F. Büther ◽  
M. Schäfers ◽  
O. Schober ◽  
...  
Keyword(s):  
Optical Flow ◽  
Motion Correction ◽  
Motion Vector ◽  
Emission Tomography ◽  
Cardiac Pet ◽  
Novel Approach ◽  
Positron Emission ◽  
Pet Ct ◽  
Flow Algorithm ◽  
Motion Vector Field

Summary:Motion in PET/CT leads to artifacts in the reconstructed PET images due to the different acquisition times of positron emission tomography and computed tomography. The effect of motion on cardiac PET/CT images is evaluated in this study and a novel approach for motion correction based on optical flow methods is outlined. The Lukas-Kanade optical flow algorithm is used to calculate the motion vector field on both simulated phantom data as well as measured human PET data. The motion of the myocardium is corrected by non-linear registration techniques and results are compared to uncorrected images.

Cardiac positron emission tomography (PET)

2017 ◽  
Author(s):  
Nikant Sabharwal ◽  
Parthiban Arumugam ◽  
Andrew Kelion
Keyword(s):  
Positron Emission Tomography ◽  
Single Photon ◽  
Photon Emission ◽  
Emission Tomography ◽  
Emission Computed Tomography ◽  
Cardiac Pet ◽  
Clinical Tool ◽  
Cardiac Positron Emission Tomography ◽  
Positron Emission ◽  
Recent Developments

As in single photon emission computed tomography (SPECT), positron emission tomography (PET) involves the injection of a radiopharmaceutical, the physiological properties of which determine its distribution within the patient. The labelling radionuclide then allows this distribution to be imaged. The value of cardiac PET as a routine clinical tool, particularly for perfusion imaging, was previously limited by the expense and scarcity of cameras and the short half-lives of the radionuclides with complex radiochemistry. The need for an on-site cyclotron to produce these radiopharmaceuticals made a clinical service non-viable. A number of recent developments, however, have led to renewed interest in cardiac PET. This chapter covers PET instrumentation, detail on the radiopharmaceuticals used in cardiac PET, and a number of sections on F-fluorodeoxyglucose (F-FDG) PET covering infection and inflammation imaging.

scholarly journals Enhanced Detection in Brain Activation Maps Using a Multifiltering Approach

1994 ◽  
Vol 14 (4) ◽  
pp. 639-642 ◽  
Author(s):  
Jean-Baptiste Poline ◽  
Bernard M. Mazoyer
Keyword(s):  
Signal To Noise Ratio ◽  
Brain Activation ◽  
Detection Sensitivity ◽  
Emission Tomography ◽  
Detection Methods ◽  
Positron Emission ◽  
Low Pass ◽  
Difference Images ◽  
Current Detection ◽  
The Brain

Current methods for detecting activation foci in positron emission tomography difference images include a low pass filtering step aimed at improving the signal-to-noise ratio. However, we show that detection sensitivity depends both on the activation signal and the filter sizes. Therefore, we propose to improve current detection methods by using a multifiltering strategy that is shown to be more sensitive when various kinds of signals are present in the brain activation images.

scholarly journals Quantitative Cardiac Positron Emission Tomography: The Time Is Coming!

Scientifica ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Roberto Sciagrà
Keyword(s):  
Positron Emission Tomography ◽  
Heart Disease ◽  
Hypertensive Heart Disease ◽  
Microvascular Dysfunction ◽  
Emission Tomography ◽  
Cardiac Pet ◽  
Cardiac Positron Emission Tomography ◽  
Quantitative Pet ◽  
Flow Reserve ◽  
Positron Emission

In the last 20 years, the use of positron emission tomography (PET) has grown dramatically because of its oncological applications, and PET facilities are now easily accessible. At the same time, various groups have explored the specific advantages of PET in heart disease and demonstrated the major diagnostic and prognostic role of quantitation in cardiac PET. Nowadays, different approaches for the measurement of myocardial blood flow (MBF) have been developed and implemented in user-friendly programs. There is large evidence that MBF at rest and under stress together with the calculation of coronary flow reserve are able to improve the detection and prognostication of coronary artery disease. Moreover, quantitative PET makes possible to assess the presence of microvascular dysfunction, which is involved in various cardiac diseases, including the early stages of coronary atherosclerosis, hypertrophic and dilated cardiomyopathy, and hypertensive heart disease. Therefore, it is probably time to consider the routine use of quantitative cardiac PET and to work for defining its place in the clinical scenario of modern cardiology.

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