Literature DB >> 8449593

Models for computer simulation studies of input functions for tracer kinetic modeling with positron emission tomography.

D Feng1, S C Huang, X Wang.   

Abstract

In tracer kinetic modeling with Positron Emission Tomography (PET), the direct measurement (piecewise linear approximation) of plasma time-activity curve of tracer (PTAC) is often used as the input function to estimate regional physiological parameters. However, no explicit general model is available for PTAC itself, which limits the further study of the effects of PTAC, such as PTAC measurement noise or PTAC sampling schedules, on the physiological parameters estimation. A PTAC model is proposed in this paper and compared with other four possible candidates. Eight sets of [18F]-fluoro-2-deoxy-D-glucose (FDG) experimental data were used to test the models and several statistical criteria were used to validate their adequacy. An application of the model to improve the estimation of local cerebral metabolic rate of glucose (LCMRGlc) is presented. This model is also expected to be useful for generating realistic PTAC curves in computer simulation studies of other tracers and their kinetic modeling characteristics.

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Year:  1993        PMID: 8449593     DOI: 10.1016/0020-7101(93)90049-c

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  47 in total

1.  Combining dynamic and ECG-gated ⁸²Rb-PET for practical implementation in the clinic.

Authors:  George A Sayre; Stephen L Bacharach; Michael W Dae; Youngho Seo
Journal:  Nucl Med Commun       Date:  2012-01       Impact factor: 1.690

2.  Estimating the input function non-invasively for FDG-PET quantification with multiple linear regression analysis: simulation and verification with in vivo data.

Authors:  Yu-Hua Fang; Tsair Kao; Ren-Shyan Liu; Liang-Chih Wu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-01-23       Impact factor: 9.236

Review 3.  Dynamic single photon emission computed tomography--basic principles and cardiac applications.

Authors:  Grant T Gullberg; Bryan W Reutter; Arkadiusz Sitek; Jonathan S Maltz; Thomas F Budinger
Journal:  Phys Med Biol       Date:  2010-09-22       Impact factor: 3.609

4.  Closed-form kinetic parameter estimation solution to the truncated data problem.

Authors:  Gengsheng L Zeng; Grant T Gullberg; Dan J Kadrmas
Journal:  Phys Med Biol       Date:  2010-11-19       Impact factor: 3.609

5.  Simultaneous magnetic resonance angiography and perfusion (MRAP) measurement: initial application in lower extremity skeletal muscle.

Authors:  Katherine L Wright; Nicole Seiberlich; John A Jesberger; Dean A Nakamoto; Raymond F Muzic; Mark A Griswold; Vikas Gulani
Journal:  J Magn Reson Imaging       Date:  2013-02-06       Impact factor: 4.813

6.  Improved derivation of input function in dynamic mouse [18F]FDG PET using bladder radioactivity kinetics.

Authors:  Koon-Pong Wong; Xiaoli Zhang; Sung-Cheng Huang
Journal:  Mol Imaging Biol       Date:  2013-08       Impact factor: 3.488

7.  Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET.

Authors:  Yanguang Lin; Justin P Haldar; Quanzheng Li; Peter S Conti; Richard M Leahy
Journal:  IEEE Trans Med Imaging       Date:  2013-11-07       Impact factor: 10.048

8.  Validation of Bayesian analysis of compartmental kinetic models in medical imaging.

Authors:  Arkadiusz Sitek; Quanzheng Li; Georges El Fakhri; Nathaniel M Alpert
Journal:  Phys Med       Date:  2016-09-28       Impact factor: 2.685

9.  Quantitative PET imaging detects early metabolic remodeling in a mouse model of pressure-overload left ventricular hypertrophy in vivo.

Authors:  Min Zhong; Clayton E Alonso; Heinrich Taegtmeyer; Bijoy K Kundu
Journal:  J Nucl Med       Date:  2013-02-20       Impact factor: 10.057

10.  5-HT1A sex based differences in Bmax, in vivo KD, and BPND in the nonhuman primate.

Authors:  Dustin W Wooten; Ansel T Hillmer; Jeffrey M Moirano; Dana L Tudorascu; Elizabeth O Ahlers; Maxim S Slesarev; Todd E Barnhart; Jogeshwar Mukherjee; Mary L Schneider; Bradley T Christian
Journal:  Neuroimage       Date:  2013-03-26       Impact factor: 6.556

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