Quantitative positron emission tomography (PET) analysis with a compartment model requires a plasma time activity curve (pTAC), which is obtained by continuous blood sampling via an inserted catheter in the brachial artery. However, this continuous blood sampling encounters some difficulties. Therefore, it is of clinical interest to develop a method that does not involve continuous blood sampling. We proposed a method for extracting pTAC from dynamic PET image sequences using independent component analysis (ICA). In this paper, after preprocessing using principal component analysis (PCA), ICA unmixing process was performed using a fast fixed point algorithm and the plasma input function was obtained. This method is applied to two measured d...
For the quantification of dynamic (18)F-FDG PET studies, the arterial plasma time-activity concentra...
Dynamic contrast enhanced (DCE)-MRI combined with Pharmacokinetic (PK) modeling of a tumor tissue pr...
2002 Pan-Sydney Workshop on Visualisation (VIP'2002), Sydney, Australia, 2002A graph-theoretic varia...
For the absolute quantification of regional cerebral blood flow (rCBF) by means of H2 15 O positron ...
Purpose: Factor analysis and independent component analysis (ICA) has been used for handling dynamic...
<p>(1) the dynamic PET images derived from sequential measurement of the radioactivity are re-arrang...
The independent component analysis (ICA) method is sug-gested to be useful for separation of the ven...
Multivariate image analysis tools are used for analyzing dynamic or multidimensional Positron Emissi...
Abstract: Multivariate image analysis tools are used for analyzing dynamic or multidimensional Posit...
Positron emission tomography (PET) is a nuclear medicine technique that provides tomographic images ...
Positron emission tomography (PET) is an important tool for enabling quantification of human brain f...
Positron Emission Tomography, PET, can be used for dynamic studies in humans. In such studies a sele...
Abstract—Positron emission tomography (PET) is an important tool for enabling quantification of huma...
To analyze dynamic positron emission tomography (PET) images, various generic multivariate data anal...
<div><p>In [<sup>18</sup>F]-FEPPA positron emission topography (PET) imaging, automatic blood sampli...
For the quantification of dynamic (18)F-FDG PET studies, the arterial plasma time-activity concentra...
Dynamic contrast enhanced (DCE)-MRI combined with Pharmacokinetic (PK) modeling of a tumor tissue pr...
2002 Pan-Sydney Workshop on Visualisation (VIP'2002), Sydney, Australia, 2002A graph-theoretic varia...
For the absolute quantification of regional cerebral blood flow (rCBF) by means of H2 15 O positron ...
Purpose: Factor analysis and independent component analysis (ICA) has been used for handling dynamic...
<p>(1) the dynamic PET images derived from sequential measurement of the radioactivity are re-arrang...
The independent component analysis (ICA) method is sug-gested to be useful for separation of the ven...
Multivariate image analysis tools are used for analyzing dynamic or multidimensional Positron Emissi...
Abstract: Multivariate image analysis tools are used for analyzing dynamic or multidimensional Posit...
Positron emission tomography (PET) is a nuclear medicine technique that provides tomographic images ...
Positron emission tomography (PET) is an important tool for enabling quantification of human brain f...
Positron Emission Tomography, PET, can be used for dynamic studies in humans. In such studies a sele...
Abstract—Positron emission tomography (PET) is an important tool for enabling quantification of huma...
To analyze dynamic positron emission tomography (PET) images, various generic multivariate data anal...
<div><p>In [<sup>18</sup>F]-FEPPA positron emission topography (PET) imaging, automatic blood sampli...
For the quantification of dynamic (18)F-FDG PET studies, the arterial plasma time-activity concentra...
Dynamic contrast enhanced (DCE)-MRI combined with Pharmacokinetic (PK) modeling of a tumor tissue pr...
2002 Pan-Sydney Workshop on Visualisation (VIP'2002), Sydney, Australia, 2002A graph-theoretic varia...