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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kamasak, M.E. |
| Copyright Year | 2013 |
| Description | Author affiliation: Bilgisayar Muhendisligi Bolumu, Istanbul Teknik Univ., Istanbul, Turkey (Kamasak, M.E.) |
| Abstract | In this work, an analytical framework is developed for bias and variance in the kinetic parameter estimations with spatial regularization in dynamic positron emission tomography. Time consuming Monte Carlo simulations can be used for this purpose. In this work, a faster analytical framework is developed for bias and variance analysis in kinetic parameter estimations with spatial regularization. In addition validation experiments are performed on simulation data. It is observed that the bias and variance values obtained from Monte Carlo simulations and analytical calculations are consistent. These results indicate that the bias and variance in the kinetic parameter estimations with spatial regularization can be computed using the analytical framework that is derived in this work. |
| Sponsorship | IEEE Turkey Sect. SP Chapter |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 363059 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467355629 |
| e-ISBN | 9781467355636 |
| e-ISBN | 9781467355612 |
| DOI | 10.1109/SIU.2013.6531226 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-04-24 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | kinetic parameters Monte Carlo methods Parameter estimation dynamic PET Computational modeling bias and variance analysis Data models Kinetic theory Positron emission tomography Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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