List mode reconstruction for pet with motion compensation: A simulation study

Jinyi Qi; Ronald H. Huesman

doi:10.1109/ISBI.2002.1029282

List mode reconstruction for pet with motion compensation: A simulation study

Jinyi Qi, Ronald H. Huesman

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

51 Scopus citations

Abstract

Motion artifacts can be a significant factor that limits the image quality in high-resolution PET. Surveillance systems have been developed to track the movements of the subject during a scan. Development of reconstruction algorithms that are able to compensate for the subject motion will increase the potential of PET. In this paper we present a list mode likelihood reconstruction algorithm with the ability of motion compensation. The subject motion is explicitly modeled in the likelihood function. The detections of each detector pair are modeled as a Poisson process with time-varying rate function. The proposed method has several advantages over the existing methods. It uses all detected events and does not introduce any interpolation error. Computer simulations show that the proposed method can compensate simulated subject movements and that the reconstructed images have no visible motion artifacts.

Original language	English (US)
Title of host publication	Proceedings - International Symposium on Biomedical Imaging
Publisher	IEEE Computer Society
Pages	413-416
Number of pages	4
Volume	2002-January
ISBN (Print)	078037584X
DOIs	https://doi.org/10.1109/ISBI.2002.1029282
State	Published - 2002
Externally published	Yes
Event	IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States Duration: Jul 7 2002 → Jul 10 2002

Other

Other	IEEE International Symposium on Biomedical Imaging, ISBI 2002
Country/Territory	United States
City	Washington
Period	7/7/02 → 7/10/02

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

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10.1109/ISBI.2002.1029282

Cite this

Qi, J & Huesman, RH 2002, List mode reconstruction for pet with motion compensation: A simulation study. in Proceedings - International Symposium on Biomedical Imaging. vol. 2002-January, 1029282, IEEE Computer Society, pp. 413-416, IEEE International Symposium on Biomedical Imaging, ISBI 2002, Washington, United States, 7/7/02. https://doi.org/10.1109/ISBI.2002.1029282

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AB - Motion artifacts can be a significant factor that limits the image quality in high-resolution PET. Surveillance systems have been developed to track the movements of the subject during a scan. Development of reconstruction algorithms that are able to compensate for the subject motion will increase the potential of PET. In this paper we present a list mode likelihood reconstruction algorithm with the ability of motion compensation. The subject motion is explicitly modeled in the likelihood function. The detections of each detector pair are modeled as a Poisson process with time-varying rate function. The proposed method has several advantages over the existing methods. It uses all detected events and does not introduce any interpolation error. Computer simulations show that the proposed method can compensate simulated subject movements and that the reconstructed images have no visible motion artifacts.

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List mode reconstruction for pet with motion compensation: A simulation study

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