Presentation + Paper
9 March 2017 Improved attenuation correction for respiratory gated PET/CT with extended-duration cine CT: a simulation study
Author Affiliations +
Abstract
Due to the wide variability of intra-patient respiratory motion patterns, traditional short-duration cine CT used in respiratory gated PET/CT may be insufficient to match the PET scan data, resulting in suboptimal attenuation correction that eventually compromises the PET quantitative accuracy. Thus, extending the duration of cine CT can be beneficial to address this data mismatch issue. In this work, we propose to use a long-duration cine CT for respiratory gated PET/CT, whose cine acquisition time is ten times longer than a traditional short-duration cine CT. We compare the proposed long-duration cine CT with the traditional short-duration cine CT through numerous phantom simulations with 11 respiratory traces measured during patient PET/CT scans. Experimental results show that, the long-duration cine CT reduces the motion mismatch between PET and CT by 41% and improves the overall reconstruction accuracy by 42% on average, as compared to the traditional short-duration cine CT. The long-duration cine CT also reduces artifacts in PET images caused by misalignment and mismatch between adjacent slices in phase-gated CT images. The improvement in motion matching between PET and CT by extending the cine duration depends on the patient, with potentially greater benefits for patients with irregular breathing patterns or larger diaphragm movements.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruoqiao Zhang, Adam M. Alessio, Larry A Pierce II, Darrin W. Byrd, Tzu-Cheng Lee, Bruno De Man, and Paul E. Kinahan "Improved attenuation correction for respiratory gated PET/CT with extended-duration cine CT: a simulation study", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101321I (9 March 2017); https://doi.org/10.1117/12.2254599
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Computed tomography

Positron emission tomography

Computer simulations

Lung

Tumors

3D acquisition

CT reconstruction

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