Direct list mode reconstruction for motion compensation

Ronald H. Huesman; Jinyi Qi; Dimitris Samaras; Yang Wang; Liu Yang; Wei Zhang; Richard Ferrieri; Paul Vaska; David Schlyer

Direct list mode reconstruction for motion compensation

Ronald H. Huesman
, Jinyi Qi
, Dimitris Samaras
, Yang Wang
, Liu Yang
, Wei Zhang
, Richard Ferrieri
, Paul Vaska
, David Schlyer

Stony Brook University

Lawrence Berkeley National Laboratory
University of California at Davis
Stony Brook University
Brookhaven National Laboratory

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

As resolution of PET increases, subject movement is becoming a significant factor that limits image quality. It is important to develop image reconstruction methods that can compensate motion. The basic approach that we have taken in this work is to use video cameras to track the subject movement and to use this information in reconstruction algorithms. We have developed a direct list-mode reconstruction algorithm that incorporates the subject motion information in the likelihood function. The method can accurately compensate measured motion and it does not require interpolation of either measured events or reconstructed images. We applied the method to experimental data from a phantom in a microPET scanner.

Original language	English
Article number	M10-192
Pages (from-to)	3953-3955
Number of pages	3
Journal	IEEE Nuclear Science Symposium Conference Record
Volume	6
State	Published - 2004
Event	2004 Nuclear Science Symposium, Medical Imaging Conference, Symposium on Nuclear Power Systems and the 14th International Workshop on Room Temperature Semiconductor X- and Gamma- Ray Detectors - Rome, Italy Duration: Oct 16 2004 → Oct 22 2004

Cite this

@article{9333c7fb40974118a48f6ccf28137d17,

title = "Direct list mode reconstruction for motion compensation",

abstract = "As resolution of PET increases, subject movement is becoming a significant factor that limits image quality. It is important to develop image reconstruction methods that can compensate motion. The basic approach that we have taken in this work is to use video cameras to track the subject movement and to use this information in reconstruction algorithms. We have developed a direct list-mode reconstruction algorithm that incorporates the subject motion information in the likelihood function. The method can accurately compensate measured motion and it does not require interpolation of either measured events or reconstructed images. We applied the method to experimental data from a phantom in a microPET scanner.",

author = "Huesman, \{Ronald H.\} and Jinyi Qi and Dimitris Samaras and Yang Wang and Liu Yang and Wei Zhang and Richard Ferrieri and Paul Vaska and David Schlyer",

year = "2004",

language = "English",

volume = "6",

pages = "3953--3955",

journal = "IEEE Nuclear Science Symposium Conference Record",

issn = "1095-7863",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2004 Nuclear Science Symposium, Medical Imaging Conference, Symposium on Nuclear Power Systems and the 14th International Workshop on Room Temperature Semiconductor X- and Gamma- Ray Detectors ; Conference date: 16-10-2004 Through 22-10-2004",

}

TY - JOUR

T1 - Direct list mode reconstruction for motion compensation

AU - Huesman, Ronald H.

AU - Qi, Jinyi

AU - Samaras, Dimitris

AU - Wang, Yang

AU - Yang, Liu

AU - Zhang, Wei

AU - Ferrieri, Richard

AU - Vaska, Paul

AU - Schlyer, David

PY - 2004

Y1 - 2004

N2 - As resolution of PET increases, subject movement is becoming a significant factor that limits image quality. It is important to develop image reconstruction methods that can compensate motion. The basic approach that we have taken in this work is to use video cameras to track the subject movement and to use this information in reconstruction algorithms. We have developed a direct list-mode reconstruction algorithm that incorporates the subject motion information in the likelihood function. The method can accurately compensate measured motion and it does not require interpolation of either measured events or reconstructed images. We applied the method to experimental data from a phantom in a microPET scanner.

AB - As resolution of PET increases, subject movement is becoming a significant factor that limits image quality. It is important to develop image reconstruction methods that can compensate motion. The basic approach that we have taken in this work is to use video cameras to track the subject movement and to use this information in reconstruction algorithms. We have developed a direct list-mode reconstruction algorithm that incorporates the subject motion information in the likelihood function. The method can accurately compensate measured motion and it does not require interpolation of either measured events or reconstructed images. We applied the method to experimental data from a phantom in a microPET scanner.

UR - https://www.scopus.com/pages/publications/23844554201

M3 - Conference article

SN - 1095-7863

VL - 6

SP - 3953

EP - 3955

JO - IEEE Nuclear Science Symposium Conference Record

JF - IEEE Nuclear Science Symposium Conference Record

M1 - M10-192

T2 - 2004 Nuclear Science Symposium, Medical Imaging Conference, Symposium on Nuclear Power Systems and the 14th International Workshop on Room Temperature Semiconductor X- and Gamma- Ray Detectors

Y2 - 16 October 2004 through 22 October 2004

ER -

Direct list mode reconstruction for motion compensation

Abstract

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