Cost-Effective Depth-Encoding Methods for Time-of-Flight PET Scanners
ORAL
Abstract
Positron Emission Tomography (PET) is a non-invasive medical imaging technique with a unique utility toward the diagnosis and location of cancer, and with growing applications to the study of neurodegenerative diseases. In order to improve position resolution and reduce parallax error during image reconstruction, state-of-the-art scanners feature both time-of-flight (TOF) capability and depth-of-interaction (DOI) sensitivity. Using Monte Carlo simulations in Geant4 and benchtop experiments, we have explored low-cost methods for achieving DOI sensitivity in lutetium–yttrium oxyorthosilicate (LYSO) PET scanners based on light-sharing between scintillator pixels. We have also explored the impact that LYSO's surface polish has on its TOF and DOI resolutions.
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Presenters
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William J Matava
UT Austin, University of Texas at Austin
Authors
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William J Matava
UT Austin, University of Texas at Austin
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Kyle T Klein
The University of Texas at Austin, University of Texas at Austin
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Firas Abouzahr
University of Texas at Austin
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Christopher Layden
University of Texas at Austin
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Akhil Sadam
University of Texas at Austin
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John Cesar
University of Texas at Austin
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Shawn Park
University of Texas at Austin
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Trang Do
University of Texas at Austin
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Victoria Koptelova
University of Texas at Austin
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Tri Truong
University of Texas at Austin
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Stefaan Tavernier
Vrije Universiteit Brussel, PETsys Electronics
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Marek Proga
University of Texas at Austin
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Karol Lang
University of Texas at Austin