Model-based receptor quantization analysis for PET parametric imaging

Z. Jane Wang, Peng Qiu, K. J Ray Liu, Zsolt Szabo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Dynamic PET (positron emission tomography) imaging technique allows image-wide quantification of physiologic and biochemical parameters. Compartment modeling is the most popular approach for receptor binding studies. However, current compartment-model based methods often either require the accurate arterial blood measurements as the input function or assume the existence of a reference region. To obviate the need for the input function or a reference region, in this paper, we propose to estimate the input function and the kinetic parameters simultaneously. The initial estimate of the input functions is obtained by the analysis of space intersections. Then both the input function and the receptor parameters, thus the underlying distribution volume (DV) parametric image, are estimated iteratively. The performance of the proposed scheme is examined by both simulations and real brain PET data in obtaining the underlying parametric images.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages5908-5911
Number of pages4
Volume7 VOLS
StatePublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

Fingerprint

Positron emission tomography
Imaging techniques
Kinetic parameters
Brain
Blood

ASJC Scopus subject areas

  • Bioengineering

Cite this

Wang, Z. J., Qiu, P., Liu, K. J. R., & Szabo, Z. (2005). Model-based receptor quantization analysis for PET parametric imaging. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 7 VOLS, pp. 5908-5911). [1615835]

Model-based receptor quantization analysis for PET parametric imaging. / Wang, Z. Jane; Qiu, Peng; Liu, K. J Ray; Szabo, Zsolt.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 7 VOLS 2005. p. 5908-5911 1615835.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, ZJ, Qiu, P, Liu, KJR & Szabo, Z 2005, Model-based receptor quantization analysis for PET parametric imaging. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 7 VOLS, 1615835, pp. 5908-5911, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 9/1/05.
Wang ZJ, Qiu P, Liu KJR, Szabo Z. Model-based receptor quantization analysis for PET parametric imaging. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 7 VOLS. 2005. p. 5908-5911. 1615835
Wang, Z. Jane ; Qiu, Peng ; Liu, K. J Ray ; Szabo, Zsolt. / Model-based receptor quantization analysis for PET parametric imaging. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 7 VOLS 2005. pp. 5908-5911
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