Paper
28 May 2019 Reconstruction performance for long axial field-of-view PET scanners with large axial gaps
Margaret E. Daube-Witherspoon, Varsha Viswanath, Suleman Surti, Joel S. Karp
Author Affiliations +
Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110722C (2019) https://doi.org/10.1117/12.2533946
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States
Abstract
The increased axial coverage of long axial field-of-view (AFOV) PET scanners leads to dramatically higher sensitivity and the potential to significantly reduce scan time and/or radiation dose. Axial gaps allow for longer coverage for a given detector area but have the disadvantages of lower sensitivity and additional complexity for reconstruction. The PennPET Explorer scanner currently has an AFOV of 64 cm with two 7.6-cm axial gaps. We used the system in its current configuration with data gaps and simulations without gaps (70-cm AFOV) to study the impact of large axial gaps on the choices and performance of 3D reconstruction algorithms for long AFOV scanners. The results of this work will inform the extension of the PennPET Explorer beyond 64 cm, guide the development and choice of reconstruction algorithms and parameters for quantitative imaging in long AFOV scanners with gaps, and predict reconstruction performance of longer AFOV systems with and without large axial gaps.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Margaret E. Daube-Witherspoon, Varsha Viswanath, Suleman Surti, and Joel S. Karp "Reconstruction performance for long axial field-of-view PET scanners with large axial gaps", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110722C (28 May 2019); https://doi.org/10.1117/12.2533946
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Cited by 3 scholarly publications.
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KEYWORDS
Scanners

Reconstruction algorithms

Positron emission tomography

Data modeling

Image resolution

Image quality

Spatial resolution

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