Proceedings ArticleDOI
Parametric image estimation using Residual simplified reference tissue model
Kyungsang Kim,Young Don Son,Jong-Hoon Kim,Quanzheng Li +3 more
- Vol. 11072, pp 1107237
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The article was published on 2019-05-28. It has received 1 citations till now. The article focuses on the topics: Parametric Image & Residual.read more
Citations
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Proceedings ArticleDOI
Residual Simplified Reference Tissue Model with Covariance Estimation
TL;DR: A residual simplified reference tissue model (ResSRTM) using an approximate covariance matrix to robustly compute the parametric image with a high resolution is proposed and it is demonstrated that the proposed method outperforms the conventional SRTM method.
References
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Journal ArticleDOI
Simplified Reference Tissue Model for PET Receptor Studies
TL;DR: The reference tissue model allows for quantification of receptor kinetics without measuring the arterial input function, thus avoiding arterial cannulation and time-consuming metabolite measurements, and for the ligands tested the three-parameter model is a better choice, combining increased convergence rate with increased stability.
Journal ArticleDOI
Four-dimensional (4D) image reconstruction strategies in dynamic PET: beyond conventional independent frame reconstruction.
TL;DR: Novel techniques in the emerging field of spatiotemporal four-dimensional (4D) positron emission tomography (PET) image reconstruction are reviewed, including techniques that utilize iterative temporal smoothing, principal components transformation of the dynamic data, wavelet-based techniques, as well as direct kinetic parameter estimation methods.
Journal ArticleDOI
Quantitative Statistical Methods for Image Quality Assessment
TL;DR: In this article, a review of statistical analysis techniques that enable us to compute two key metrics: resolution (determined from the local impulse response) and covariance, is presented.
Journal ArticleDOI
Analytical properties of time-of-flight PET data
TL;DR: This work investigates the analytical properties of time-of-flight (TOF) positron emission tomography (PET) sinograms, where the data are modeled as line integrals weighted by a spatially invariant TOF kernel, and describes a new exact Fourier rebinning method, TOF-FOREX, based on the Fourier transform in the time- of-flight variable.
Journal ArticleDOI
Dynamic PET reconstruction using temporal patch-based low rank penalty for ROI-based brain kinetic analysis
TL;DR: A novel optimization framework using the concave-convex procedure (CCCP) is proposed, to demonstrate that the correlation of patches can be exploited using a low-rank constraint that is insensitive to global intensity variations.
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