A simulation study of a long axial field of view whole-body PET scanner using cylindrical and anthropomorphic phantoms

Poon, Jonathan; MacDonald, L.R.; Cherry, Simon R.; Badawi, Ramsey D.

doi:10.1109/nssmic.2008.4774363

Cited by 8 publications

(15 citation statements)

References 21 publications

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“…For comparing to a previous cylinder-SimSET simulation study of a 2-meter-AFOV tomograph [5], we have summarized comparable results in Table 2 for a 54-block (2.136 meters) AFOV scanner that was part of our parametric-design study. In addition to mismatched AFOV, we expect differences in these two simulations to result from model differences in scanner geometry, patient-bed representation, phantom geometry (length and diameter), and singles LLD (Poon et al used 50 keV and we used 85 keV).…”

Section: Resultsmentioning

confidence: 99%

“…In addition to mismatched AFOV, we expect differences in these two simulations to result from model differences in scanner geometry, patient-bed representation, phantom geometry (length and diameter), and singles LLD (Poon et al used 50 keV and we used 85 keV). The effect of some model differences (block detector and patient bed representation) on resulting count rates are diminished by count-rate correction factors applied by Poon et al [5]. With such large differences in tomograph and phantom models it is difficult to make a meaningful comparison.…”

Section: Resultsmentioning

confidence: 99%

“…Large axial field-of-view (AFOV) positron emission tomograph (PET) scanners have been proposed and developed [1-5] as a means for improving sensitivity for whole-body imaging. Notably, Poon, et al [5] have used a cylindrical-detector PET simulation to examine noise equivalent count rate (NEC) of a 2-meter-long 3D-PET scanner with 3-cm-thick LSO detectors.…”

Section: Introductionmentioning

confidence: 99%

“…Notably, Poon, et al [5] have used a cylindrical-detector PET simulation to examine noise equivalent count rate (NEC) of a 2-meter-long 3D-PET scanner with 3-cm-thick LSO detectors. Motivations for improving scanner sensitivity include increase in signal-to-noise ratio (SNR) and decreases in patient dose, scan time, and patient motion.…”

Section: Introductionmentioning

confidence: 99%

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Parametric design study of a long axial field-of-view PET scanner using a block-detector tomograph simulation of a cylindrical phantom

Harrison¹,

Gillispie²,

MacDonald³

et al. 2009

2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)

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We are conducting a two-phase study, which aims to select design parameters of a long-axis positron emission tomography (PET) scanner that are a compromise between detection performance and cost. In this first phase, we examine the effects of axial length, detector thickness and collimator geometry on the noise equivalent count rate per axial length (λNEC) and noise equivalent count rate per slice (dNEC). We use these metrics as approximate, but quickly computed, indicators of a PET-scanner's performance at a detection task. From this first phase, we select a subset of scanner designs for which we can conduct a detailed study of tumor detectability and quantitation accuracy in whole-body PET imaging.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Parametric design study of a long axial field-of-view PET scanner using a block-detector tomograph simulation of a cylindrical phantom

Harrison¹,

Gillispie²,

MacDonald³

et al. 2009

2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)

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“…In a recent study, Poon et al [17] developed a detailed simulation, based on anthropomorphic phantoms, of LSO tomographs up to 2 m long. With very fast electronics (several hundred MHz) a 2 m-long system should be able to increase sensitivity by a factor of 25-50, compared with the "reference" GE Discovery STE system.…”

Section: But Can We Now Do Without the Benefits Of Tof?mentioning

confidence: 99%

PET systems: the value of added length

Borasi

Fioroni

Guerra

et al. 2010

Eur J Nucl Med Mol Imaging

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The past decade has brought unbelievable advances in CT technology. These have been reflected in a progressive widening of the radiation beam in the axial direction (from "fan beam" to "cone beam" geometry) and in a corresponding increase in the number of detector rings.From the four detectors and 2 cm axial field of view (AFOV), acquired in half a second, that characterised the systems of a decade ago, we now have, with the present technology, 256/312 multi-row detectors that allow the acquisition of an 8/16 cm axial field in less than a third of a second. In addition, dual-source CT is offering a wealth of new possibilities.These new systems, whose realisation demanded the solution of complex mechanics, electronics and information technology problems, have opened up a completely new field of medical investigation: the four-dimensional study of the heart and the vascular system.

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Accurate modeling and performance evaluation of a total‐body pet scanner using Monte Carlo simulations

Rezaei,

Sheikhzadeh,

Ghafarian

et al. 2023

Medical Physics

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BackgroundThe limited axial field‐of‐view (FOV) of conventional clinical positron emission tomography (PET) scanners (∼15 to 26 cm) allows detecting only 1% of all coincidence photons, hence limiting significantly their sensitivity. To overcome this limitation, the EXPLORER consortium developed the world's first total‐body PET/CT scanner that significantly increased the sensitivity, thus enabling to decrease the scan duration or injected dose.PurposeThe purpose of this study is to perform and validate Monte Carlo simulations of the uEXPLORER PET scanner, which can be used to devise novel conceptual designs and geometrical configurations through obtaining features that are difficult to obtain experimentally.MethodsThe total‐body uEXPLORER PET scanner was modeled using GATE Monte Carlo (MC) platform. The model was validated through comparison with experimental measurements of various performance parameters, including spatial resolution, sensitivity, count rate performance, and image quality, according to NEMA‐NU2 2018 standards. Furthermore, the effects of the time coincidence window and maximum ring difference on the count rate and noise equivalent count rate (NECR) were evaluated.ResultsOverall, the validation study showed that there was a good agreement between the simulation and experimental results. The differences between the simulated and experimental total sensitivity for the NEMA and extended phantoms at the center of the FOV were 2.3% and 0.0%, respectively. The difference in peak NECR was 9.9% for the NEMA phantom and 1.0% for the extended phantom. The average bias between the simulated and experimental results of the full‐width‐at‐half maximum (FWHM) for six different positions and three directions was 0.12 mm. The simulations showed that using a variable coincidence time window based on the maximum ring difference can reduce the effect of random coincidences and improve the NECR compared to a constant time coincidence window. The NECR corresponding to 252‐ring difference was 2.11 Mcps, which is larger than the NECR corresponding to 336‐ring difference (2.04 Mcps).ConclusionThe developed MC model of the uEXPLORER PET scanner was validated against experimental measurements and can be used for further assessment and design optimization of the scanner.

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A simulation study of a long axial field of view whole-body PET scanner using cylindrical and anthropomorphic phantoms

Cited by 8 publications

References 21 publications

Parametric design study of a long axial field-of-view PET scanner using a block-detector tomograph simulation of a cylindrical phantom

Parametric design study of a long axial field-of-view PET scanner using a block-detector tomograph simulation of a cylindrical phantom

PET systems: the value of added length

Accurate modeling and performance evaluation of a total‐body pet scanner using Monte Carlo simulations

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