Paper
18 March 2008 The effects of respiration motion in PET/CT studies
Lu Wan, Zhijian Wu, Fengyin Zhou, Sheng Ye, Shaoqun Zeng, Chien-Min Kao, Chin-Tu Chen, Yongxue Zhang, Qingguo Xie
Author Affiliations +
Abstract
In recent years, the clinical status of positron emission tomography(PET)/computed tomography(CT) in achieving more accurate staging of lung cancer has been established and the technology has been enthusiastically accepted by the medical community. However, its capability in chest imaging is still limited by several physical factors. As a result of typical PET/CT imaging protocol, respiration-averaged PET data and free of respiration-averaged CT data are collected in a PET/CT scanning. In this work, we investigate the effects of respiration motion. We employ mathematical and Monte-Carlo simulations for generating PET/CT data. We scale a Zubal phantom to generate 30 phantoms having various sizes in order to represent different torso anatomic states during respiration. Images reconstructed from selected scaling PET data using the respective scaling PET attenuation maps serve as baseline results. PET/CT imaging protocol is simulated by reconstruction from respiration-averaged PET data with the selected PET attenuation maps. We also reconstruct PET images from respiratory-averaged PET data with respiration-averaged PET attenuation maps, which simulates conventional PET imaging protocol. We will compare the resulting images reconstructed from the above-mentioned approaches to evaluate the effects of respiration motion in PET/CT.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lu Wan, Zhijian Wu, Fengyin Zhou, Sheng Ye, Shaoqun Zeng, Chien-Min Kao, Chin-Tu Chen, Yongxue Zhang, and Qingguo Xie "The effects of respiration motion in PET/CT studies", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69134A (18 March 2008); https://doi.org/10.1117/12.769705
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KEYWORDS
Positron emission tomography

Signal attenuation

Monte Carlo methods

Computed tomography

Tissues

Expectation maximization algorithms

Lung cancer

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