Comparison of HRRT and HR+ Scanners for Quantitative (R)-[11C]verapamil, [11C]raclopride and [11C]flumazenil Brain Studies

Velden, Floris H. P. van; Mansor, Syahir; Assema, Daniëlle M. E. van; Berckel, Bart N.M. van; Froklage, Femke E.; Wang, Shaonan; Schuit, Robert C.; Asselin, Marie‐Claude; Lammertsma, Adriaan A.; Boellaard, Ronald; Huisman, Marc C.

doi:10.1007/s11307-014-0766-8

Cited by 12 publications

(20 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The FWHM was estimated based on the post reconstruction smoothing and was set such to meet EARL specifications in order to match the image resolution obtained from both systems used [20]. It should be noted that the PSF depends on the position in the scanner [13, 21]. Henceforth, an estimate of PSF was used in this study which might lead to some bias depending on the positioning of the object.…”

Section: Methodsmentioning

confidence: 99%

“…[ 11 C]PIB (Pittsburgh compound B) is an amyloid tracer with low to intermediate grey to white matter contrast in AD subjects and with an inverse grey to white matter contrast in healthy subjects. Dynamic [ 11 C]FMZ and [ 11 C]PIB scans from previously reported studies [21, 23] were used in this study. [ 11 C]PIB data were derived from four patients with Alzheimer’s disease (AD) and from four healthy subjects.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

et al. 2017

Self Cite

View full text Add to dashboard Cite

BackgroundAccurate quantification of PET studies depends on the spatial resolution of the PET data. The commonly limited PET resolution results in partial volume effects (PVE). Iterative deconvolution methods (IDM) have been proposed as a means to correct for PVE. IDM improves spatial resolution of PET studies without the need for structural information (e.g. MR scans). On the other hand, deconvolution also increases noise, which results in lower signal-to-noise ratios (SNR). The aim of this study was to implement IDM in combination with HighlY constrained back-PRojection (HYPR) denoising to mitigate poor SNR properties of conventional IDM.MethodsAn anthropomorphic Hoffman brain phantom was filled with an [18F]FDG solution of ~25 kBq mL−1 and scanned for 30 min on a Philips Ingenuity TF PET/CT scanner (Philips, Cleveland, USA) using a dynamic brain protocol with various frame durations ranging from 10 to 300 s. Van Cittert IDM was used for PVC of the scans. In addition, HYPR was used to improve SNR of the dynamic PET images, applying it both before and/or after IDM. The Hoffman phantom dataset was used to optimise IDM parameters (number of iterations, type of algorithm, with/without HYPR) and the order of HYPR implementation based on the best average agreement of measured and actual activity concentrations in the regions. Next, dynamic [11C]flumazenil (five healthy subjects) and [11C]PIB (four healthy subjects and four patients with Alzheimer’s disease) scans were used to assess the impact of IDM with and without HYPR on plasma input-derived distribution volumes (V T) across various regions of the brain.ResultsIn the case of [11C]flumazenil scans, Hypr-IDM-Hypr showed an increase of 5 to 20% in the regional V T whereas a 0 to 10% increase or decrease was seen in the case of [11C]PIB depending on the volume of interest or type of subject (healthy or patient). References for these comparisons were the V Ts from the PVE-uncorrected scans.ConclusionsIDM improved quantitative accuracy of measured activity concentrations. Moreover, the use of IDM in combination with HYPR (Hypr-IDM-Hypr) was able to correct for PVE without increasing noise.Electronic supplementary materialThe online version of this article (doi:10.1186/s13550-017-0284-1) contains supplementary material, which is available to authorized users.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…The absolute percentage difference of the two radioligands in one monkey was less than 3% in the putamen and less than 9% in the caudate (Table 1). These differences were considered to be comparable with the test-retest variability of ([ 11 C]methyl)raclopride published in the literature [33,34]. …”

Section: Monkey Pet Studymentioning

confidence: 56%

Synthesis of ([11C]carbonyl)raclopride and a comparison with ([11C]methyl)raclopride in a monkey PET study

Rahman

Takano

Amini

et al. 2015

Nuclear Medicine and Biology

View full text Add to dashboard Cite

“…In recent years, there has been considerable progress in developing more advanced data correction and reconstruction for the HRRT [ 2 – 5 ]. However, the HRRT still suffers from inaccuracies in scatter correction [ 6 , 7 ]. The number of scattered events can amount to 56 % of the total number of events [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of New Scatter Correction Strategies on High-Resolution Research Tomograph Brain PET Studies

et al. 2016

Self Cite

View full text Add to dashboard Cite

PurposeThe aim of this study is to evaluate the impact of different scatter correction strategies on quantification of high-resolution research tomograph (HRRT) data for three tracers covering a wide range in kinetic profiles.ProceduresHealthy subjects received dynamic HRRT scans using either (R)-[11C]verapamil (n = 5), [11C]raclopride (n = 5) or [11C]flumazenil (n = 5). To reduce the effects of patient motion on scatter scaling factors, a margin in the attenuation correction factor (ACF) sinogram was applied prior to 2D or 3D single scatter simulation (SSS).ResultsSome (R)-[11C]verapamil studies showed prominent artefacts that disappeared with an ACF-margin of 10 mm or more. Use of 3D SSS for (R)-[11C]verapamil showed a statistically significant increase in volume of distribution compared with 2D SSS (p < 0.05), but not for [11C]raclopride and [11C]flumazenil studies (p > 0.05).ConclusionsWhen there is a patient motion-induced mismatch between transmission and emission scans, applying an ACF-margin resulted in more reliable scatter scaling factors but did not change (and/or deteriorate) quantification.

show abstract

Comparison of HRRT and HR+ Scanners for Quantitative (R)-[11C]verapamil, [11C]raclopride and [11C]flumazenil Brain Studies

Cited by 12 publications

References 38 publications

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising

Synthesis of ([11C]carbonyl)raclopride and a comparison with ([11C]methyl)raclopride in a monkey PET study

Impact of New Scatter Correction Strategies on High-Resolution Research Tomograph Brain PET Studies

Contact Info

Product

Resources

About