Positron emission tomography compartmental models
- PMID: 11488533
- DOI: 10.1097/00004647-200106000-00002
Positron emission tomography compartmental models
Abstract
The current article presents theory for compartmental models used in positron emission tomography (PET). Both plasma input models and reference tissue input models are considered. General theory is derived and the systems are characterized in terms of their impulse response functions. The theory shows that the macro parameters of the system may be determined simply from the coefficients of the impulse response functions. These results are discussed in the context of radioligand binding studies. It is shown that binding potential is simply related to the integral of the impulse response functions for all plasma and reference tissue input models currently used in PET. This article also introduces a general compartmental description for the behavior of the tracer in blood, which then allows for the blood volume-induced bias in reference tissue input models to be assessed.
Similar articles
-
An introduction to PET and SPECT neuroreceptor quantification models.J Nucl Med. 2001 May;42(5):755-63. J Nucl Med. 2001. PMID: 11337572 Review.
-
Kinetic modeling of 11C-SB207145 binding to 5-HT4 receptors in the human brain in vivo.J Nucl Med. 2009 Jun;50(6):900-8. doi: 10.2967/jnumed.108.058552. J Nucl Med. 2009. PMID: 19470850
-
Simplifications in analyzing positron emission tomography data: effects on outcome measures.Nucl Med Biol. 2007 Oct;34(7):743-56. doi: 10.1016/j.nucmedbio.2007.06.003. Epub 2007 Aug 27. Nucl Med Biol. 2007. PMID: 17921027
-
Cerebral [15O]water clearance in humans determined by PET: I. Theory and normal values.J Cereb Blood Flow Metab. 1996 Sep;16(5):765-80. doi: 10.1097/00004647-199609000-00002. J Cereb Blood Flow Metab. 1996. PMID: 8784222
-
Principles of quantitative positron emission tomography.Amino Acids. 2005 Dec;29(4):341-53. doi: 10.1007/s00726-005-0215-8. Epub 2005 Jul 12. Amino Acids. 2005. PMID: 16003499 Review.
Cited by
-
Signal separation of simultaneous dual-tracer PET imaging based on global spatial information and channel attention.EJNMMI Phys. 2024 May 29;11(1):47. doi: 10.1186/s40658-024-00649-9. EJNMMI Phys. 2024. PMID: 38809438 Free PMC article.
-
PET Imaging of the Serotonin 1A Receptor in Major Depressive Disorder: Hierarchical Multivariate Analysis of [11C]WAY100635 Overcomes Outcome Measure Discrepancies.bioRxiv [Preprint]. 2024 Mar 12:2024.03.12.584569. doi: 10.1101/2024.03.12.584569. bioRxiv. 2024. PMID: 38559101 Free PMC article. Preprint.
-
Automated extraction of the arterial input function from brain images for parametric PET studies.EJNMMI Res. 2024 Apr 1;14(1):33. doi: 10.1186/s13550-024-01100-x. EJNMMI Res. 2024. PMID: 38558200
-
Kinetic Modeling of Brain [18-F]FDG Positron Emission Tomography Time Activity Curves with Input Function Recovery (IR) Method.Metabolites. 2024 Feb 8;14(2):114. doi: 10.3390/metabo14020114. Metabolites. 2024. PMID: 38393006 Free PMC article.
-
Kinetic analysis of cardiac dynamic 18F-Florbetapir PET in healthy volunteers and amyloidosis patients: A pilot study.Heliyon. 2024 Feb 10;10(4):e26021. doi: 10.1016/j.heliyon.2024.e26021. eCollection 2024 Feb 29. Heliyon. 2024. PMID: 38375312 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources