ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2019
Towards quantitative [18F]FDG-PET/MRI of the brain: Automated MR-driven calculation of an image-derived input function for the non-invasive determination of cerebral glucose metabolic rates.
Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed.
- Metabolism-weighted brain connectome reveals synaptic integration and vulnerability to neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Normal cerebral oxygen consumption and lactate levels in patients with Alzheimer's disease and Lewy body dementia.GeroScience · 2026Article
- Dual-channel pulse-dye densitometry can enable correction of fluorescent targeted and control agent plasma input function differences for quantitative paired-agent molecular imaging: a simulation study.Journal of biomedical optics · 2025Article
- Future prospects for image-derived input function in molecular imaging quantification with the 7 T MR-BrainPET insert.Frontiers in neuroscience · 2025Article
- EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [EJNMMI physics · 2024Article
- Development of quantitative PET/MR imaging for measurements of hepatic portal vein input function: a phantom study.EJNMMI physics · 2024Article
- A Comparison of Arterial Input Function Interpolation Methods for Patlak Plot Analysis ofIEEE transactions on medical imaging · 2024Article
- Validation of cardiac image-derived input functions for functional PET quantification.European journal of nuclear medicine and molecular imaging · 2024Article
- Dynamic Human Brain Imaging with a Portable PET Camera: Comparison to a Standard Scanner.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Simultaneous estimation of a model-derived input function for quantifying cerebral glucose metabolism with [EJNMMI physics · 2024Article
- An energy costly architecture of neuromodulators for human brain evolution and cognition.Science advances · 2023Article
- Single time point quantitation of cerebral glucose metabolism by FDG-PET without arterial sampling.EJNMMI research · 2023Article
- An update on the use of image-derived input functions for human PET studies: new hopes or old illusions?EJNMMI research · 2023Review
- Article
- Distinct cerebral cortical perfusion patterns in idiopathic normal-pressure hydrocephalus.Human brain mapping · 2023Article
- First results on kinetic modelling and parametric imaging of dynamicEuropean journal of nuclear medicine and molecular imaging · 2022Article
- Reliability of task-specific neuronal activation assessed with functional PET, ASL and BOLD imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Cerebral blood flow measurements withJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [Scientific reports · 2021Article
- Conditional Generative Adversarial Networks Aided Motion Correction of DynamicJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021Article
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Authors and funding
14 authors.
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Abstract
Absolute quantification of PET brain imaging requires the measurement of an arterial input function (AIF), typically obtained invasively via an arterial cannulation. We present an approach to automatically calculate an image-derived input function (IDIF) and cerebral metabolic rates of glucose (CMRGlc) from the [18F]FDG PET data using an integrated PET/MRI system. Ten healthy controls underwent test-retest dynamic [18F]FDG-PET/MRI examinations. The imaging protocol consisted of a 60-min PET list-mode acquisition together with a time-of-flight MR angiography scan for segmenting the carotid arteries and intermittent MR navigators to monitor subject movement. AIFs were collected as the reference standard. Attenuation correction was performed using a separate low-dose CT scan. Assessment of the percentage difference between area-under-the-curve of IDIF and AIF yielded values within ±5%. Similar test-retest variability was seen between AIFs (9 ± 8) % and the IDIFs (9 ± 7) %. Absolute percentage difference between CMRGlc values obtained from AIF and IDIF across all examinations and selected brain regions was 3.2% (interquartile range: (2.4-4.3) %, maximum < 10%). High test-retest intravariability was observed between CMRGlc values obtained from AIF (14%) and IDIF (17%). The proposed approach provides an IDIF, which can be effectively used in lieu of AIF.
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