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      Reconstructed spatial resolution and contrast recovery with Bayesian penalized likelihood reconstruction (Q.Clear) for FDG-PET compared to time-of-flight (TOF) with point spread function (PSF)

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          Abstract

          Background

          Bayesian penalized likelihood reconstruction for PET (e.g., GE Q.Clear) aims at improving convergence of lesion activity while ensuring sufficient signal-to-noise ratio (SNR). This study evaluated reconstructed spatial resolution, maximum/peak contrast recovery (CRmax/CRpeak) and SNR of Q.Clear compared to time-of-flight (TOF) OSEM with and without point spread function (PSF) modeling.

          Methods

          The NEMA IEC Body phantom was scanned five times (3 min scan duration, 30 min between scans, background, 1.5–3.9 kBq/ml F18) with a GE Discovery MI PET/CT (3-ring detector) with spheres filled with 8-, 4-, or 2-fold the background activity concentration (SBR 8:1, 4:1, 2:1). Reconstruction included Q.Clear (beta, 150/300/450), “PSF+TOF 4/16” (iterations, 4; subsets, 16; in-plane filter, 2.0 mm), “OSEM+TOF 4/16” (identical parameters), “PSF+TOF 2/17” (2 it, 17 ss, 2.0 mm filter), “OSEM+TOF 2/17” (identical), “PSF+TOF 4/8” (4 it, 8 ss, 6.4 mm), and “OSEM+TOF 2/8” (2 it, 8 ss, 6.4 mm). Spatial resolution was derived from 3D sphere activity profiles. RC as (sphere activity concentration [AC]/true AC). SNR as (background mean AC/background AC standard deviation).

          Results

          Spatial resolution of Q.Clear 150 was significantly better than all conventional algorithms at SBR 8:1 and 4:1 (Wilcoxon, each p < 0.05). At SBR 4:1 and 2:1, the spatial resolution of Q.Clear 300/450 was similar or inferior to PSF+TOF 4/16 and OSEM+TOF 4/16. Small sphere CRpeak generally underestimated true AC, and it was similar for Q.Clear 150/300/450 as with PSF+TOF 4/16 or PSF+TOF 2/17 (i.e., relative differences < 10%). Q.Clear provided similar or higher CRpeak as OSEM+TOF 4/16 and OSEM+TOF 2/17 resulting in a consistently better tradeoff between CRpeak and SNR with Q.Clear. Compared to PSF+TOF 4/8/OSEM+TOF 2/8, Q.Clear 150/300/450 showed lower SNR but higher CRpeak.

          Conclusions

          Q.Clear consistently improved reconstructed spatial resolution at high and medium SBR compared to PSF+TOF and OSEM+TOF, but only with beta = 150. However, this is at the cost of inferior SNR with Q.Clear 150 compared to Q.Clear 300/450 and PSF+TOF 4/16/PSF+TOF 2/17 while CRpeak for the small spheres did not improve considerably. This suggests that Q.Clear 300/450 may be advantageous for the 3-ring detector configuration because the tradeoff between CR and SNR with Q.Clear 300/450 was superior to PSF+TOF 4/16, OSEM+TOF 4/16, and OSEM+TOF 2/17. However, it requires validation by systematic evaluation in patients at different activity and acquisition protocols.

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          Most cited references18

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          Fully 3-D PET reconstruction with system matrix derived from point source measurements.

          The quality of images reconstructed by statistical iterative methods depends on an accurate model of the relationship between image space and projection space through the system matrix The elements of the system matrix for the clinical Hi-Rez scanner were derived by processing the data measured for a point source at different positions in a portion of the field of view. These measured data included axial compression and azimuthal interleaving of adjacent projections. Measured data were corrected for crystal and geometrical efficiency. Then, a whole system matrix was derived by processing the responses in projection space. Such responses included both geometrical and detection physics components of the system matrix. The response was parameterized to correct for point source location and to smooth for projection noise. The model also accounts for axial compression (span) used on the scanner. The forward projector for iterative reconstruction was constructed using the estimated response parameters. This paper extends our previous work to fully three-dimensional. Experimental data were used to compare images reconstructed by the standard iterative reconstruction software and the one modeling the response function. The results showed that the modeling of the response function improves both spatial resolution and noise properties.
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            Phantom and Clinical Evaluation of the Bayesian Penalized Likelihood Reconstruction Algorithm Q.Clear on an LYSO PET/CT System.

            Q.Clear, a Bayesian penalized-likelihood reconstruction algorithm for PET, was recently introduced by GE Healthcare on their PET scanners to improve clinical image quality and quantification. In this work, we determined the optimum penalization factor (beta) for clinical use of Q.Clear and compared Q.Clear with standard PET reconstructions.
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              Focus on time-of-flight PET: the benefits of improved time resolution.

              TOF PET is characterized by a better trade-off between contrast and noise in the image. This property is enhanced in more challenging operating conditions, allowing for example shorter examinations or low counts, successful scanning of larger patients, low uptake, visualization of smaller lesions, and incomplete data sampling. In this paper, the correlation between the time resolution of a TOF PET scanner and the improvement in signal-to-noise in the image is introduced and discussed. A set of performance advantages is presented which include better image quality, shorter scan times, lower dose, higher spatial resolution, lower sensitivity to inconsistent data, and the opportunity for new architectures with missing angles. The recent scientific literature that reports the first experimental evidence of such advantages in oncology clinical data is reviewed. Finally, the directions for possible improvement of the time resolution of the present generation of TOF PET scanners are discussed.
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                Author and article information

                Contributors
                julian.rogasch@charite.de
                Journal
                EJNMMI Phys
                EJNMMI Phys
                EJNMMI Physics
                Springer International Publishing (Cham )
                2197-7364
                10 January 2020
                10 January 2020
                December 2020
                : 7
                : 2
                Affiliations
                [1 ]Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Nuclear Medicine, Augustenburger Platz 1, Berlin, Germany
                [2 ]Helmholtz-Zentrum Dresden-Rossendorf, Institute for Radiopharmaceutical Cancer Research, Dresden, Germany
                Author information
                http://orcid.org/0000-0002-0817-6532
                Article
                270
                10.1186/s40658-020-0270-y
                6954158
                31925574
                912a58eb-4d0a-4a8b-81ce-ddf3406e23b5
                © The Author(s). 2020

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 22 August 2019
                : 2 January 2020
                Categories
                Original Research
                Custom metadata
                © The Author(s) 2020

                pet,image reconstruction,spatial resolution,contrast recovery,signal-to-noise ratio,tof,psf,q.clear,ge discovery mi

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