Analytic TOF PET reconstruction algorithm within DIRECT data partitioning framework

Matej, Samuel; Daube-Witherspoon, Margaret E.; Karp, Joel S.

doi:10.1088/0031-9155/61/9/3365

Cited by 17 publications

(15 citation statements)

References 58 publications

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“…Spatial resolution was measured using a 0.5-mm-diameter 22 Na point source encased in a 1 cm 3 plastic cube, imaged at multiple radial positions (1,5,10,15, and 20 cm) and at multiple axial locations (0, 4, 12, 20, 24, and 28 cm) relative to the AFOV center. Per NEMA, single-ring data were reconstructed using the analytic DIRECT algorithm (32). We also report the results from LM-OSEM iterative reconstruction for 1-ringsegment and 3-ring-segment data, using parameters optimized for high-resolution imaging (1 mm 3 voxels, 4 iterations).…”

Section: Performance Characterizationmentioning

confidence: 99%

PennPET Explorer: Design and Preliminary Performance of a Whole-Body Imager

et al. 2019

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We report on the development of the PennPET Explorer whole-body imager. Methods: The PennPET Explorer is a multiring system designed with a long axial field of view. The imager is scalable and comprises multiple 22.9-cm-long ring segments, each with 18 detector modules based on a commercial digital silicon photomultiplier. A prototype 3-segment imager has been completed and tested with an active 64-cm axial field of view. Results: The instrument design is described, and its physical performance measurements are presented. These include sensitivity of 55 kcps/MBq, spatial resolution of 4.0 mm, energy resolution of 12%, timing resolution of 256 ps, and a noise-equivalent count rate above 1,000 kcps beyond 30 kBq/mL. After an evaluation of lesion torso phantoms to characterize quantitative accuracy, human studies were performed on healthy volunteers. Conclusion: The physical performance measurements validated the system design and led to highquality human studies.

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Section: Performance Characterizationmentioning

confidence: 99%

PennPET Explorer: Design and Preliminary Performance of a Whole-Body Imager

et al. 2019

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“…Computer simulation results are shown in Figs. 3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18. All images are shown in the same format.…”

Section: Resultsmentioning

confidence: 99%

“…One of the advantages of using time-of-flight (TOF) technology is its ability to reduce the image noise [1,2], and analytic algorithms are able to reconstruct TOF positron emission tomography (PET) images [1][2][3][4][5][6][7][8][9][10][11]. The state-of-the-art TOF PET image reconstruction methodology is to use the iterative algorithms such as TOF ordered-subset expectation-maximization algorithms [2].…”

Section: Introductionmentioning

confidence: 99%

Analytic time-of-flight positron emission tomography reconstruction: three-dimensional case

Zeng¹,

Li²,

Huang³

2020

Vis. Comput. Ind. Biomed. Art

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In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise. The state-of-the-art TOF PET image reconstruction uses iterative algorithms. This study introduces an analytic TOF PET algorithm that focuses on three-dimensional (3D) reconstruction. The proposed algorithm is in the form of backprojection filtering, in which the backprojection is performed first by using a time-resolution profile function, and then a 3D filter is applied to the backprojected image. For the list-mode data, the backprojection is carried out in the event-by-event fashion, and the timing resolution determined weighting function is used along the projection LOR. Computer simulations are carried out to verify the feasibility of the proposed algorithm.

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“…109 Alternatively, TOF PET data can be naturally stored in the histo-image format without information loss, and the DIRECT approach can be used for efficient 3-D TOF PET reconstruction. [110][111][112] Thanks to the histo-image parameterization, the consistency equations in histo-image format are more concise than in the sinogram format. Analytic attenuation estimation from TOF PET histo-images was also studied; 95 in addition, a fast solver was developed to estimate the attenuation factors from their derivatives using the discrete sine transform and fast Fourier transform with the consideration of boundary conditions.…”

Section: B Analytic Attenuation Estimationmentioning

confidence: 99%

Attenuation correction in emission tomography using the emission data—A review

Berker

2016

Medical Physics

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The problem of attenuation correction (AC) for quantitative positron emission tomography (PET) had been considered solved to a large extent after the commercial availability of devices combining PET with computed tomography (CT) in 2001; single photon emission computed tomography (SPECT) has seen a similar development. However, stimulated in particular by technical advances toward clinical systems combining PET and magnetic resonance imaging (MRI), research interest in alternative approaches for PET AC has grown substantially in the last years. In this comprehensive literature review, the authors first present theoretical results with relevance to simultaneous reconstruction of attenuation and activity. The authors then look back at the early history of this research area especially in PET; since this history is closely interwoven with that of similar approaches in SPECT, these will also be covered. We then review algorithmic advances in PET, including analytic and iterative algorithms. The analytic approaches are either based on the Helgason-Ludwig data consistency conditions of the Radon transform, or generalizations of John's partial differential equation; with respect to iterative methods, we discuss maximum likelihood reconstruction of attenuation and activity (MLAA), the maximum likelihood attenuation correction factors (MLACF) algorithm, and their offspring. The description of methods is followed by a structured account of applications for simultaneous reconstruction techniques: this discussion covers organ-specific applications, applications specific to PET/MRI, applications using supplemental transmission information, and motion-aware applications. After briefly summarizing SPECT applications, we consider recent developments using emission data other than unscattered photons. In summary, developments using time-of-flight (TOF) PET emission data for AC have shown promising advances and open a wide range of applications. These techniques may both remedy deficiencies of purely MRI-based AC approaches in PET/MRI and improve standalone PET imaging. C

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Analytic TOF PET reconstruction algorithm within DIRECT data partitioning framework

Cited by 17 publications

References 58 publications

PennPET Explorer: Design and Preliminary Performance of a Whole-Body Imager

PennPET Explorer: Design and Preliminary Performance of a Whole-Body Imager

Analytic time-of-flight positron emission tomography reconstruction: three-dimensional case

Attenuation correction in emission tomography using the emission data—A review

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