M
Matthew E. Werner
Researcher at University of Pennsylvania
Publications - 35
Citations - 1714
Matthew E. Werner is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Iterative reconstruction & Image resolution. The author has an hindex of 17, co-authored 33 publications receiving 1577 citations. Previous affiliations of Matthew E. Werner include Philips.
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Journal Article
Performance of Philips Gemini TF PET/CT Scanner with Special Consideration for Its Time-of-Flight Imaging Capabilities
Suleman Surti,Austin Kuhn,Matthew E. Werner,Amy E. Perkins,Jeffrey A. Kolthammer,Joel S. Karp +5 more
TL;DR: The Gemini TF whole-body scanner represents the first commercially available fully 3-dimensional PET scanner that achieves time-of-flight capability as well as conventional imaging capabilities.
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Investigation of time-of-flight benefit for fully 3-DPET
TL;DR: The results show that scan times can be reduced in a time-of-flight (TOF) fully three-dimensional whole-body positron emission tomography (PET) scanner to achieve images similar to those from a non-TOF scanner, or improved image quality achieved for same scan times.
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Optimization of a fully 3D single scatter simulation algorithm for 3D PET
TL;DR: Comparison of SSS predictions with Monte Carlo simulations and experimental data from uniform, line and cold-bar phantoms showed that the code is accurate for uniform as well as asymmetric objects and can model different energy resolution crystals and low level discriminator (LLD) settings.
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The imaging performance of a LaBr3-based PET scanner
Margaret E. Daube-Witherspoon,Suleman Surti,Amy E. Perkins,Christopher C. M. Kyba,R. I. Wiener,Matthew E. Werner,R Kulp,Joel S. Karp +7 more
TL;DR: Preliminary results with incorporation of a model of detector blurring in the iterative reconstruction algorithm not only show improved contrast recovery but also point out the importance of an accurate resolution model of the tails of LaBr(3)'s point spread function.
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PennPET Explorer: Design and Preliminary Performance of a Whole-Body Imager
Joel S. Karp,Varsha Viswanath,Michael J. Geagan,Gerd Muehllehner,Austin R. Pantel,Michael J. Parma,Amy E. Perkins,Jeffrey P. Schmall,Matthew E. Werner,Margaret E. Daube-Witherspoon +9 more
TL;DR: The physical performance measurements validated the system design and led to high-quality human studies, and validation of lesion torso phantoms to characterize quantitative accuracy, human studies were performed on healthy volunteers.