ArticleIEEE transactions on medical imaging2014
An analysis of whole body tracer kinetics in dynamic PET studies with application to image-based blood input function extraction.
Article in IEEE transactions on medical imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- A virtual clinical trial comparing static versus dynamic PET imaging in measuring response to breast cancer therapy.Physics in medicine and biology · 2017Trial
- Quantitation of dynamic total-body PET imaging: recent developments and future perspectives.European journal of nuclear medicine and molecular imaging · 2023Review
- PET AIF estimation when available ROI data is impacted by dispersive and/or background effects.Physics in medicine and biology · 2023Article
- Patient-Adaptive Population-Based Modeling of Arterial Input Functions.IEEE transactions on medical imaging · 2023Article
- Mixing Matrix-corrected Whole-body Pharmacokinetic Modeling Using Longitudinal Micro-computed Tomography and Fluorescence-mediated Tomography.Molecular imaging and biology · 2021Article
- Analysis of Four-Dimensional Data for Total Body PET Imaging.PET clinics · 2021Review
- Symmetry and spatial distribution of muscle glucose uptake in the lower limbs during walking measured using FDG-PET.PloS one · 2019Article
- A new methodology to derive 3D kinetic parametric FDG PET images based on a mathematical approach integrating an error model of measurement.EJNMMI research · 2018Article
- Assessment of a statistical AIF extraction method for dynamic PET studies withJournal of medical imaging (Bellingham, Wash.) · 2018Article
- The extent to which standardized uptake values reflect FDG phosphorylation in the liver and spleen as functions of time after injection ofEJNMMI research · 2017Article
- The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge.Tomography (Ann Arbor, Mich.) · 2016Article
- Effect ofTomography (Ann Arbor, Mich.) · 2015Article
- VOXEL-LEVEL MAPPING OF TRACER KINETICS IN PET STUDIES: A STATISTICAL APPROACH EMPHASIZING TISSUE LIFE TABLES.The annals of applied statistics · 2014Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
In a positron emission tomography (PET) study, the local uptake of the tracer is dependent on vascular delivery and retention. For dynamic studies the measured uptake time-course information can be best interpreted when knowledge of the time-course of tracer in the blood is available. This is certainly true for the most established tracers such as 18F-Fluorodeoxyglucose (FDG) and 15O-Water (H2O). Since direct sampling of blood as part of PET studies is increasingly impractical, there is ongoing interest in image-extraction of blood time-course information. But analysis of PET-measured blood pool signals is complicated because they will typically involve a combination of arterial, venous and tissue information. Thus, a careful appreciation of these components is needed to interpret the available data. To facilitate this process, we propose a novel Markov chain model for representation of the circulation of a tracer atom in the body. The model represents both arterial and venous time-course patterns. Under reasonable conditions equilibration of tracer activity in arterial and venous blood is achieved by the end of the PET study-consistent with empirical measurement. Statistical inference for Markov model parameters is a challenge. A penalized nonlinear least squares process, incorporating a generalized cross-validation score, is proposed. Random effects analysis is used to adaptively specify the structure of the penalty function based on historical samples of directly measured blood data. A collection of arterially sampled data from PET studies with FDG and H2O is used to illustrate the methodology. These data analyses are highly supportive of the overall modeling approach. An adaptation of the model to the problem of extraction of arterial blood signals from imaging data is also developed and promising preliminary results for cerebral and thoracic imaging studies with FDG and H2O are obtained.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.