A multivendor phantom study comparing the image quality produced from three state-of-the-art SPECT-CT systems

Hughes, Tyler; Celler, Anna

doi:10.1097/mnm.0b013e328351d549

Cited by 15 publications

(13 citation statements)

References 21 publications

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“…Quantitative errors of the four SPECT/CT systems were less than 10% if the targets were several times larger than the spatial resolution of these SPECT devices. In the same year, Hughes et al also conducted a phantom study in order to compare the images obtained with three different SPECT/CT systems [2]. Interestingly, their study showed no significant differences in image quality when using their own algorithm, whereas image quality was different between images reconstructed with the vendors’ reconstruction software.…”

Section: Introductionmentioning

confidence: 99%

Use of a digital phantom developed by QIBA for harmonizing SUVs obtained from the state-of-the-art SPECT/CT systems: a multicenter study

et al. 2017

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BackgroundAlthough quantitative analysis using standardized uptake value (SUV) becomes realistic in clinical single-photon emission computed tomography/computed tomography (SPECT/CT) imaging, reconstruction parameter settings can deliver different quantitative results among different SPECT/CT systems. This study aims to propose a use of the digital reference object (DRO), which is a National Electrical Manufacturers Association (NEMA) phantom-like object developed by the Quantitative Imaging Biomarker Alliance (QIBA) fluorodeoxyglucose-positron emission tomography technical committee, for the purpose of harmonizing SUVs in Tc-99m SPECT/CT imaging.MethodsThe NEMA body phantom with determined Tc-99m concentration was scanned with the four state-of-the-art SPECT/CT systems. SPECT data were reconstructed using different numbers of the product of subset and iteration numbers (SI) and the width of 3D Gaussian filter (3DGF). The mean (SUVmean), maximal (SUVmax), and peak (SUVpeak) SUVs for six hot spheres (10, 13, 17, 22, 28, and 37 mm) were measured after converting SPECT count into SUV using Becquerel calibration factor. DRO smoothed by 3DGF with a FWHM of 17 mm (DRO17 mm) was generated, and the corresponding SUVs were measured. The reconstruction condition to yield the lowest root mean square error (RMSE) of SUVmeans for all the spheres between DRO17 mm and actual phantom images was determined as the harmonized condition for each SPECT/CT scanner. Then, inter-scanner variability in all quantitative metrics was measured before (i.e., according to the manufacturers’ recommendation or the policies of their own departments) and after harmonization.ResultsRMSE was lowest in the following reconstruction conditions: SI of 100 and 3DGF of 13 mm for Brightview XCT, SI of 160 and 3DGF of 3 pixels for Discovery NM/CT, SI of 60 and 3DGF of 2 pixels for Infinia, and SI of 140 and 3DGF of 15 mm for Symbia. In pre-harmonized conditions, coefficient of variations (COVs) among the SPECT/CT systems were greater than 10% for all quantitative metrics in three of the spheres, SUVmax and SUVmean, in one of the spheres. In contrast, all metrics except SUVmax in the 17-mm sphere yielded less than 10% of COVs after harmonization.ConclusionsOur proposed method clearly reduced inter-scanner variability in SUVs. A digital phantom developed by QIBA would be useful for harmonizing SUVs in multicenter trials using SPECT/CT.

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Section: Introductionmentioning

confidence: 99%

Use of a digital phantom developed by QIBA for harmonizing SUVs obtained from the state-of-the-art SPECT/CT systems: a multicenter study

et al. 2017

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“…Winz et al also reported that OSEM with RR clearly improved the delineation of striatal structures compared with FBP [13]. The application of the RR algorithm has a potential to improve the spatial resolution and reduce the background uniformity [14]. This is one of the main ways of improving the image quality of 123 I-FP-CIT SPECT using OSEM with the RR algorithm.…”

Section: Discussionmentioning

confidence: 95%

Optimization of iterative reconstruction parameters with 3-dimensional resolution recovery, scatter and attenuation correction in 123I-FP-CIT SPECT

et al. 2015

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“…Finally, it is interesting to remember that Hughes et al [24] concluded that ‘no significant differences were observed between image resolutions when data acquired from different cameras were reconstructed with an independent algorithm. However, different manufacturers’ reconstruction algorithms produced myocardial wall thickness that differed by up to about 110%.’ In a very recent study [25], the same authors concluded that there were no differences in the figures of merit parameters when data recorded with different SPECT-CT systems were reconstructed with their own software but that significant differences existed when the manufacturers’ reconstruction software was used.…”

Section: Discussionmentioning

confidence: 99%

“…Knoll et al [23] have focused on three image quality parameters, spatial resolution, contrast recovery, and background variability, of three modern SPECT-CT cameras, General Electric Infinia Hawkeye, Philips Brightview XCT, and Siemens Symbia T6, and their advanced 3D iterative reconstruction, General Electric Evolution for Bone, Philips Astonish, and Siemens Flash3D. Hughes et al [24,25] compared General Electric Evolution for Bone, Philips Astonish, and Siemens Flash3D to their own reconstruction software. They used acquisitions of thorax phantoms performed with General Electric Infinia Hawkeye, Philips Precedence, and Siemens Symbia T6 SPECT-CT systems.…”

Section: Introductionmentioning

confidence: 99%

Quantitative capabilities of four state-of-the-art SPECT-CT cameras

2012

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BackgroundFour state-of-the-art single-photon emission computed tomography-computed tomography (SPECT-CT) systems, namely Philips Brightview, General Electric Discovery NM/CT 670 and Infinia Hawkeye 4, and Siemens Symbia T6, were investigated in terms of accuracy of attenuation and scatter correction, contrast recovery for small hot and cold structures, and quantitative capabilities when using their dedicated three-dimensional iterative reconstruction with attenuation and scatter corrections and resolution recovery.MethodsThe National Electrical Manufacturers Association (NEMA) NU-2 1994 phantom with cold air, water, and Teflon inserts, and a homemade contrast phantom with hot and cold rods were filled with 99mTc and scanned. The acquisition parameters were chosen to provide adequate linear and angular sampling and high count statistics. The data were reconstructed using Philips Astonish, General Electric Evolution for Bone, or Siemens Flash3D, eight subsets, and a varying number of iterations. A procedure similar to the one used in positron emission tomography (PET) allowed us to obtain the factor to convert counts per pixel into activity per unit volume.ResultsEdge and oscillation artifacts were observed with all phantoms and all systems. At 30 iterations, the residual fraction in the inserts of the NEMA phantom fell below 3.5%. Contrast recovery increased with the number of iterations but became almost saturated at 24 iterations onwards. In the uniform part of the NEMA and contrast phantoms, a quantification error below 10% was achieved.ConclusionsIn objects whose dimensions exceeded the SPECT spatial resolution by several times, quantification seemed to be feasible within 10% error limits. A partial volume effect correction strategy remains necessary for the smallest structures. The reconstruction artifacts nevertheless remain a handicap on the road towards accurate quantification in SPECT and should be the focus of further works in reconstruction tomography.

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A multivendor phantom study comparing the image quality produced from three state-of-the-art SPECT-CT systems

Abstract: In this phantom-based study, Philips' AST provided the most quantitatively accurate and highest contrast images, whereas Siemens' FLA and GE's EVC provided relatively higher signal-to-noise ratios and more uniform images.

Cited by 15 publications

References 21 publications

Use of a digital phantom developed by QIBA for harmonizing SUVs obtained from the state-of-the-art SPECT/CT systems: a multicenter study

Use of a digital phantom developed by QIBA for harmonizing SUVs obtained from the state-of-the-art SPECT/CT systems: a multicenter study

Optimization of iterative reconstruction parameters with 3-dimensional resolution recovery, scatter and attenuation correction in 123I-FP-CIT SPECT

Quantitative capabilities of four state-of-the-art SPECT-CT cameras

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