Dinamik PET için kinetik parametre kestirimlerinin analizi

Mustafa E. Kamaşak

doi:10.1109/SIU.2011.5929830

Dinamik PET için kinetik parametre kestirimlerinin analizi

Translated title of the contribution: Analysis of kinetic parameter estimates for dynamic PET

Mustafa E. Kamaşak^*

^*Corresponding author for this work

Department of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

In this work, a mathematical framework is developed for analytical investigation of bias and variance in kinetic parameter estimation of compartment models for dynamic PET imaging. As implicit functions are used for kinetic parameter estimation, an open form equation cannot be derived for bias and variance. The results of the developed framework is compared against Monte Carlo simulations. Bias and variance in the kinetic parameter estimations can be computed within 10 % accuracy, if the noise in time activity curves is not very high.

Translated title of the contribution	Analysis of kinetic parameter estimates for dynamic PET
Original language	Turkish
Title of host publication	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Pages	1028-1031
Number of pages	4
DOIs	https://doi.org/10.1109/SIU.2011.5929830
Publication status	Published - 2011
Event	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 - Antalya, Turkey Duration: 20 Apr 2011 → 22 Apr 2011

Publication series

Name	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

Conference

Conference	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Country/Territory	Turkey
City	Antalya
Period	20/04/11 → 22/04/11

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10.1109/SIU.2011.5929830

Cite this

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title = "Dinamik PET i{\c c}in kinetik parametre kestirimlerinin analizi",

abstract = "In this work, a mathematical framework is developed for analytical investigation of bias and variance in kinetic parameter estimation of compartment models for dynamic PET imaging. As implicit functions are used for kinetic parameter estimation, an open form equation cannot be derived for bias and variance. The results of the developed framework is compared against Monte Carlo simulations. Bias and variance in the kinetic parameter estimations can be computed within 10 % accuracy, if the noise in time activity curves is not very high.",

author = "Kama{\c s}ak, {Mustafa E.}",

year = "2011",

doi = "10.1109/SIU.2011.5929830",

language = "T{\"u}rk{\c c}e",

isbn = "9781457704635",

series = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",

pages = "1028--1031",

booktitle = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",

note = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 ; Conference date: 20-04-2011 Through 22-04-2011",

}

Kamaşak, ME 2011, Dinamik PET için kinetik parametre kestirimlerinin analizi. in 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011., 5929830, 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, pp. 1028-1031, 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, Antalya, Turkey, 20/04/11. https://doi.org/10.1109/SIU.2011.5929830

Dinamik PET için kinetik parametre kestirimlerinin analizi. / Kamaşak, Mustafa E.
2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011. 2011. p. 1028-1031 5929830 (2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Dinamik PET için kinetik parametre kestirimlerinin analizi

AU - Kamaşak, Mustafa E.

PY - 2011

Y1 - 2011

N2 - In this work, a mathematical framework is developed for analytical investigation of bias and variance in kinetic parameter estimation of compartment models for dynamic PET imaging. As implicit functions are used for kinetic parameter estimation, an open form equation cannot be derived for bias and variance. The results of the developed framework is compared against Monte Carlo simulations. Bias and variance in the kinetic parameter estimations can be computed within 10 % accuracy, if the noise in time activity curves is not very high.

AB - In this work, a mathematical framework is developed for analytical investigation of bias and variance in kinetic parameter estimation of compartment models for dynamic PET imaging. As implicit functions are used for kinetic parameter estimation, an open form equation cannot be derived for bias and variance. The results of the developed framework is compared against Monte Carlo simulations. Bias and variance in the kinetic parameter estimations can be computed within 10 % accuracy, if the noise in time activity curves is not very high.

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DO - 10.1109/SIU.2011.5929830

M3 - Konferans katkısı

AN - SCOPUS:79960432771

SN - 9781457704635

T3 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

SP - 1028

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BT - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

T2 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

Y2 - 20 April 2011 through 22 April 2011

ER -

Dinamik PET için kinetik parametre kestirimlerinin analizi

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