In positron emission tomography (PET), a quantitative reconstruction of the tracer distribution requires accurate attenuation correction. We consider situations where a direct measurement of the attenuation coefficient of the tissues is not available or is unreliable, and where one attempts to estimate the attenuation sinogram directly from the emission data by exploiting the consistency conditions that must be satisfied by the non-attenuated data. We show that in time-of-flight PET, the attenuation sinogram is determined by the emission data except for a constant and that its gradient can be estimated efficiently using a simple analytic algorithm. The stability of the method is illustrated numerically by means of a 2D simulation.status: pu...
The primary goal of dynamic positron emission tomography (PET) is to quantify the physiological and ...
Quantitative PET imaging relies on accurate attenuation correction. Recently, there has been growing...
Attenuation correction is one of the major challenges in the development of PET-MR scanners. Predict...
In positron emission tomography (PET), an accurate quantitative reconstruction of the tracer distrib...
In positron emission tomography (PET) and single photon emission tomography (SPECT), attenuation cor...
In positron emission tomography (PET), attenuation correction is typically done based on information...
The aim of this project is to investigate the value of the added TOF information in PET measurements...
The maximum likelihood attenuation correction factors (MLACF) algorithm has been developed to calcul...
In positron emission tomography (PET), attenuation correction is typically done based on information...
In positron emission tomography (PET), positron emis-sion from radiolabeled compounds yields two hig...
This study set out to investigate various deep learning frameworks for PET attenuation correction in...
Purpose: Attenuation correction (AC) is essential for quantitative PET imaging. In the absence of co...
Abstract—Quantitative PET imaging relies on accurate at- tenuation correction. Predicting attenuatio...
While the pursuit of better time resolution in positron emission tomography (PET) is rapidly evolvin...
Abstract—Methods of quantitative emission computed tomog-raphy require compensation for linear photo...
The primary goal of dynamic positron emission tomography (PET) is to quantify the physiological and ...
Quantitative PET imaging relies on accurate attenuation correction. Recently, there has been growing...
Attenuation correction is one of the major challenges in the development of PET-MR scanners. Predict...
In positron emission tomography (PET), an accurate quantitative reconstruction of the tracer distrib...
In positron emission tomography (PET) and single photon emission tomography (SPECT), attenuation cor...
In positron emission tomography (PET), attenuation correction is typically done based on information...
The aim of this project is to investigate the value of the added TOF information in PET measurements...
The maximum likelihood attenuation correction factors (MLACF) algorithm has been developed to calcul...
In positron emission tomography (PET), attenuation correction is typically done based on information...
In positron emission tomography (PET), positron emis-sion from radiolabeled compounds yields two hig...
This study set out to investigate various deep learning frameworks for PET attenuation correction in...
Purpose: Attenuation correction (AC) is essential for quantitative PET imaging. In the absence of co...
Abstract—Quantitative PET imaging relies on accurate at- tenuation correction. Predicting attenuatio...
While the pursuit of better time resolution in positron emission tomography (PET) is rapidly evolvin...
Abstract—Methods of quantitative emission computed tomog-raphy require compensation for linear photo...
The primary goal of dynamic positron emission tomography (PET) is to quantify the physiological and ...
Quantitative PET imaging relies on accurate attenuation correction. Recently, there has been growing...
Attenuation correction is one of the major challenges in the development of PET-MR scanners. Predict...