scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Image quality and data quantification in dopamine transporter SPECT: advantage of 3-dimensional OSEM reconstruction?

01 Sep 2012-Clinical Nuclear Medicine (LIPPINCOTT WILLIAMS & WILKINS)-Vol. 37, Iss: 9, pp 866-871
TL;DR: Three-dimensional OSEM considerably improves DAT SPECT reconstruction by offering an optimal combination of high-resolution delineation of striatal structures, superior recovery of signal and BPND, and sufficiently homogeneous nonspecific tracer uptake of the reference region.
Abstract: Purpose Reconstruction of striatal dopamine transporter (DAT) SPECT is commonly done by filtered back projection (FBP). We investigated if image reconstruction by 3-dimensional ordered-subset expectation maximization (3D-OSEM) with resolution recovery, which has recently become available for clinical routine, provides a relevant improvement. Methods I-FP-CIT SPECT studies of 18 patients with normal to severely decreased DAT binding were reconstructed by FBP, 2D-OSEM (without resolution recovery), and 3D-OSEM, each with 2 different filter settings, yielding 3 data set pairs of relatively low and high resolution and noise: FBP with seventh-order Butterworth filter [cutoff frequency, 0.36 Nyquist (FBPlow) and 0.45 Nyquist (FBPhigh)] and OSEM with 8 iterations and 8 subsets (2D-/3D-OSEMlow) and 6 iterations and 16 subsets (2D-/3D-OSEMhigh), each with 8-mm Gaussian filtering. Mean regional counts, variability of counts (coefficient of variation), and binding potential (BPND) were assessed by volume-of-interest analyses of the caudate nucleus, the putamen, and the occipital cortex (reference region). Results On visual inspection, both 2D- and 3D-OSEM-reconstructed images showed an optimal delineation of striatal structures, whereas variability (noise) of nonspecific cortical I-FP-CIT uptake was lowest (most homogenous) with FBPlow, slightly higher with 2D-/3D-OSEMlow, and notably higher for the other methods. Volume-of-interest analyses revealed no significant differences of counts in the occipital reference region in comparison to FBPlow (reference method). In caudate nucleus, counts and, consequently, BPND values increased significantly with FBPhigh (mean BPND change, +5.2%), 2D-OSEMlow/high (+3.7%/+6.2%), and, most notably, 3D-OSEMlow/high (+11.1%/+14.0%). In the putamen, this effect was less pronounced for FBPhigh (+1.8%) and 3D-OSEMlow/high (+5.6%/+6.8%) and failed to reach statistical significance for 2D-OSEMlow/high (-0.2%/+0.8%). Regression analyses indicated excellent correlations of BPND between FBPlow and all other methods (R > 0.97), with the highest regression slopes for 3D-OSEM (1.12-1.16) followed by FBPhigh (1.04-1.06) and then 2D-OSEM (1.01-1.04). The order of the variability of counts in the occipital cortex was as follows: FBPlow (12.5%), 2D-OSEMlow (13.9%), 3D-OSEMlow (14.2%), FBPhigh (15.1%), 2D-OSEMhigh (17.0%), and 3D-OSEMhigh (17.6%). Conclusions Three-dimensional OSEM considerably improves DAT SPECT reconstruction by offering an optimal combination of high-resolution delineation of striatal structures, superior recovery of signal and BPND, and sufficiently homogeneous nonspecific tracer uptake of the reference region.
Citations
More filters
Journal ArticleDOI
TL;DR: Dermal p-alpha-syn is detectable in RBD patients without PD motor symptoms, thereby stratifying a patient group that is of great interest for clinical trials testing disease-modifying drugs.
Abstract: Phosphorylated alpha-synuclein (p-alpha-syn) deposits, one of the neuropathological hallmarks of Parkinson’s disease (PD), have recently been detected in dermal nerve fibres in PD patients with good specificity and sensitivity. Here, we studied whether p-alpha-syn may serve as a biomarker in patients with a high risk of developing PD, such as those with REM sleep behaviour disorder (RBD). We compared the presence and distribution of p-alpha-syn deposits in dermal nerve fibres in 18 patients with RBD, 25 patients with early PD and 20 normal controls. Skin biopsy was taken at C7, Th10, and the upper and lower leg. Presynaptic dopamine transporter imaging using FP-CIT-SPECT was performed in all patients with RBD and in 11 patients with PD. All RBD patients underwent olfactory function testing. The likelihood ratio (LR) for prodromal PD was calculated for each patient based on published research criteria. Skin serial sections were assessed by double-immunofluorescence labelling with antibodies to pSer129-alpha-syn under blinded conditions. P-alpha-syn was visualized in 10/18 patients with RBD (sensitivity of 55.6%) and in 20/25 early PD patients (sensitivity of 80%) but in none of the controls (specificity of 100%). The percentage of dermal structures innervated by p-alpha-syn-positive fibres was negatively correlated with dopamine transporter binding in the FP-CIT-SPECT (ρ = −0.377, p = 0.048), with olfactory function (ρ = −0.668, p = 0.002), and positively correlated with the total LR for RBD to present prodromal PD (ρ = 0.531, p = 0.023). Dermal p-alpha-syn can be considered a peripheral histopathological marker of synucleinopathy and can be detected in a subgroup of RBD patients presumably representing prodromal PD. Dermal p-alpha-syn is detectable in RBD patients without PD motor symptoms, thereby stratifying a patient group that is of great interest for clinical trials testing disease-modifying drugs.

181 citations


Cites methods from "Image quality and data quantificati..."

  • ...Transverse reconstructed slices were generated as previously reported [40]....

    [...]

Journal ArticleDOI
TL;DR: A connectivity-based penalty for incorporating biological prior information is proposed for sparse canonical correlation analysis (SCCA) to improve the efficiency and interpretability of SCCA and can handle multi-modal neuroimaging datasets.
Abstract: Imaging genetics is a method used to detect associations between imaging and genetic variables. Some researchers have used sparse canonical correlation analysis (SCCA) for imaging genetics. This study was conducted to improve the efficiency and interpretability of SCCA. We propose a connectivity-based penalty for incorporating biological prior information. Our proposed approach, named joint connectivity-based SCCA (JCB-SCCA), includes the proposed penalty and can handle multi-modal neuroimaging datasets. Different neuroimaging techniques provide distinct information on the brain and have been used to investigate various neurological disorders, including Parkinson’s disease (PD). We applied our algorithm to simulated and real imaging genetics datasets for performance evaluation. Our algorithm was able to select important features in a more robust manner compared with other multivariate methods. The algorithm revealed promising features of single-nucleotide polymorphisms and brain regions related to PD by using a real imaging genetic dataset. The proposed imaging genetics model can be used to improve clinical diagnosis in the form of novel potential biomarkers. We hope to apply our algorithm to cohorts such as Alzheimer’s patients or healthy subjects to determine the generalizability of our algorithm.

39 citations

Journal ArticleDOI
30 Sep 2014-PLOS ONE
TL;DR: CT-based AC cannot be recommended for routine use in clinical patient care, not least because of the additional radiation exposure and the impact of CT-based versus Chang AC on the interpretation of I-123-ioflupane SPECT is negligible.
Abstract: Purpose Attenuation correction (AC) based on low-dose computed tomography (CT) could be more accurate in brain single-photon emission computed tomography (SPECT) than the widely used Chang method, and, therefore, has the potential to improve both semi-quantitative analysis and visual image interpretation. The present study evaluated CT-based AC for dopamine transporter SPECT with I-123-ioflupane. Materials and methods Sixty-two consecutive patients in whom I-123-ioflupane SPECT including low-dose CT had been performed were recruited retrospectively at 3 centres. For each patient, 3 different SPECT images were reconstructed: without AC, with Chang AC and with CT-based AC. Distribution volume ratio (DVR) images were obtained by scaling voxel intensities using the whole brain without striata as reference. For assessing the impact of AC on semi-quantitative analysis, specific-to-background ratios (SBR) in caudate and putamen were obtained by fully automated SPM8-based region of interest (ROI) analysis and tested for their diagnostic power using receiver-operator-characteristic (ROC) analysis. For assessing the impact of AC on visual image reading, screenshots of stereotactically normalized DVR images presented in randomized order were interpreted independently by two raters at each centre. Results CT-based AC resulted in intermediate SBRs about half way between no AC and Chang. Maximum area under the ROC curve was achieved by the putamen SBR, with negligible impact of AC (0.924, 0.935 and 0.938 for no, CT-based and Chang AC). Diagnostic accuracy of visual interpretation also did not depend on AC. Conclusions The impact of CT-based versus Chang AC on the interpretation of I-123-ioflupane SPECT is negligible. Therefore, CT-based AC cannot be recommended for routine use in clinical patient care, not least because of the additional radiation exposure.

25 citations

Journal ArticleDOI
TL;DR: This study explored multi-modal PD neuroimaging and its application for predicting clinical scores on the Movement Disorder Society-sponsored Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) and provided insight on regions and connections that are instrumental in PD.
Abstract: Parkinson’s disease (PD) is a degenerative disorder that affects the central nervous system. PD-related alterations in structural and functional neuroimaging have not been fully explored. This study explored multi-modal PD neuroimaging and its application for predicting clinical scores on the Movement Disorder Society-sponsored Unified Parkinson’s Disease Rating Scale (MDS-UPDRS). Multi-modal imaging that combined 123I-Ioflupane single-photon emission computed tomography (SPECT) and diffusion tensor imaging (DTI) were adopted to incorporate complementary brain imaging information. SPECT and DTI images of normal controls (NC; n = 45) and PD patients (n = 45) were obtained from a database. The specific binding ratio (SBR) was calculated from SPECT. Tractography was performed using DTI. Group-wise differences between NC and PD patients were quantified using SBR of SPECT and structural connectivity of DTI for regions of interest (ROIs) related to PD. MDS-UPDRS scores were predicted using multi-modal imaging features in a partial least-squares regression framework. Three regions and four connections within the cortico-basal ganglia thalamocortical circuit were identified using SBR and DTI, respectively. Predicted MDS-UPDRS scores using identified regions and connections and actual MDS-UPDRS scores showed a meaningful correlation (r = 0.6854, p < 0.001). Our study provided insight on regions and connections that are instrumental in PD.

25 citations

Journal ArticleDOI
TL;DR: Semiquantitative assessment of striatal dopamine transporter availability can differentiate between FTD and DLB as well as DLB and AD with high accuracy, whereas discrimination between AD and FTD is limited.
Abstract: Introduction I-FP-CIT SPECT is increasingly used to differentiate between Alzheimer's dementia (AD) and dementia with Lewy bodies (DLB). The role of I-FP-CIT SPECT in frontotemporal dementia (FTD) is rather unclear, albeit nigrostriatal involvement may occur. The aim of this study was to evaluate its role in the differentiation of FTD, DLB, and AD. Methods We analyzed 34 patients with clinical diagnosis of FTD (n = 13), DLB (n = 12), and AD (n = 9) undergoing combined F-FDG PET and I-FP-CIT SPECT. We performed a semiquantitative region of interest-based analysis to determine the binding potential values in caudate nucleus, putamen, and whole striatum including the caudate/putamen binding potential ratio and asymmetry indices. The receiver operating characteristic analyses and multinomial logistic regression were conducted to assess discrimination accuracy. Results The putaminal binding potential separated DLB from AD with high accuracy (area under the receiver operating characteristic curve [AUC], 0.94). It also discriminated FTD from DLB with high accuracy (AUC, 0.92), whereas differentiation between FTD and AD was less accurate (AUC, 0.74). The binding potential ratio also provided high accuracy for differentiation of FTD and DLB (AUC, 0.91). Combination of these 2 parameters yielded slightly higher results for differentiation of FTD and DLB (AUC, 0.97). In a group including all patients, accuracy remained very high for DLB (AUC, 0.95), whereas values for FTD (AUC, 0.81) and AD (AUC, 0.80) were lower. Conclusions Semiquantitative assessment of striatal dopamine transporter availability can differentiate between FTD and DLB as well as DLB and AD with high accuracy, whereas discrimination between AD and FTD is limited.

15 citations


Cites methods from "Image quality and data quantificati..."

  • ...The position and rotation of VOI were manually adjusted to the individual’s anatomy without changing the VOI size, as described previously.(36) A semiquantitative assessment of the regional BPND (BPND = mean ROI counts/mean occipital counts j 1)(22) was performed with bilateral occipital cortex as a reference region devoid of specific binding....

    [...]

References
More filters
Journal ArticleDOI
TL;DR: An international group of experts in pharmacokinetic modeling recommends a consensus nomenclature to describe in vivo molecular imaging of reversibly binding radioligands.
Abstract: An international group of experts in pharmacokinetic modeling recommends a consensus nomenclature to describe in vivo molecular imaging of reversibly binding radioligands.

1,858 citations


"Image quality and data quantificati..." refers methods in this paper

  • ...BPND is the primary outcome measure of DAT SPECT studies, which is proportional to the density of striatal DAT available for 123 I-FP-CIT binding.(7) FIGURE 1....

    [...]

Journal ArticleDOI
TL;DR: These guidelines summarize the current views of the European Association of Nuclear Medicine Neuroimaging Committee (ENC) and are an update of the 2002 guidelines, which are intended to present information specifically adapted to European practice.
Abstract: These guidelines summarize the current views of the European Association of Nuclear Medicine Neuroimaging Committee (ENC). The aim of the guidelines is to assist nuclear medicine practitioners when making recommendations, performing, interpreting, and reporting the results of clinical dopamine transporter (DAT) single photon emission computed tomography (SPECT) studies using (123)I-labelled radiopharmaceuticals. The aim is to achieve a high-quality standard of DAT SPECT imaging, which will increase the diagnostic impact of this technique in neurological practice. The present document is an update of the 2002 guidelines [1] and has been guided by the views of various national societies: the Task Group Neuro-Nuclear-Medicine of the German Society of Nuclear Medicine [2], a consensus statement of the imaging centres included in the "Kompetenznetz-Parkinson" sponsored by the German Federal Ministry of Education, and the Task Group of Neuro-Nuclear-Medicine of the French Society of Nuclear Medicine [3]. The guidelines reflect the individual experience of experts in European countries. The guidelines are intended to present information specifically adapted to European practice. The information provided should be taken in the context of local conditions and regulations.

277 citations


"Image quality and data quantificati..." refers methods in this paper

  • ...Imaging and quantification of presynaptic dopamine transporters (DATs) availability with SPECT and ligands like N-(3-fluoropropyl)2A-carbomethoxy-3A-(4-iodophenyl)nortropane ((123)I-FP-CIT) is an important tool for the diagnosis and follow-up of neurodegenerative parkinsonian syndromes and dementia with Lewy bodies.(1) The commonly used reconstruction method for (123)I-FP-CIT SPECT is filtered back projection (FBP)....

    [...]

Journal ArticleDOI
TL;DR: The number of EM-equivalent iterations used in OS-EM reconstruction influences the quantification of DaTSCAN studies because of incomplete convergence and possible bias in areas of low activity due to the nonnegativity constraint.
Abstract: Reconstruction of DaTSCAN brain studies using OS-EM iterative reconstruction offers better image quality and more accurate quantification than filtered back-projection. However, reconstruction must proceed for a sufficient number of iterations to achieve stable and accurate data. This study assessed the impact of the number of iterations on the image quantification, comparing the results of the iterative reconstruction with filtered back-projection data. A striatal phantom filled with 123I using striatal to background ratios between 2:1 and 10:1 was imaged on five different gamma camera systems. Data from each system were reconstructed using OS-EM (which included depth-independent resolution recovery) with various combinations of iterations and subsets to achieve up to 200 EM-equivalent iterations and with filtered back-projection. Using volume of interest analysis, the relationships between image reconstruction strategy and quantification of striatal uptake were assessed. For phantom filling ratios of 5:1 or less, significant convergence of measured ratios occurred close to 100 EM-equivalent iterations, whereas for higher filling ratios, measured uptake ratios did not display a convergence pattern. Assessment of the count concentrations used to derive the measured uptake ratio showed that nonconvergence of low background count concentrations caused peaking in higher measured uptake ratios. Compared to filtered back-projection, OS-EM displayed larger uptake ratios because of the resolution recovery applied in the iterative algorithm. The number of EM-equivalent iterations used in OS-EM reconstruction influences the quantification of DaTSCAN studies because of incomplete convergence and possible bias in areas of low activity due to the nonnegativity constraint in OS-EM reconstruction. Nevertheless, OS-EM using 100 EM-equivalent iterations provides the best linear discriminatory measure to quantify the uptake in DaTSCAN studies.

68 citations


"Image quality and data quantificati..." refers result in this paper

  • ...…approximately 100 EM-equivalent iterations (96; ie, 6 iterations with 16 subsets in the present example), in line with the recent phantom study by Dickson et al.10 The variability of counts in the occipital cortex, in turn, increases almost linearly with the number of EM-equivalent iterations…...

    [...]

  • ...Furthermore, whereas 3D-OSEM was performed with recovery correction, this was not the case for 2D-OSEM, which explains that the increase in counts and BPND was considerably larger for 3D-OSEM than 2D-OSEM....

    [...]

  • ...1A), BPND (given here for caudate nucleus) shows a saturation-like behavior with an increasing number of EM-equivalent iterations (=number of iterations number of subsets in case of 2D/3D-OSEM), being close to convergence at approximately 100 EM-equivalent iterations (96; ie, 6 iterations with 16 subsets in the present example), in line with the recent phantom study by Dickson et al.10 The variability of counts in the occipital cortex, in turn, increases almost linearly with the number of EM-equivalent iterations (Fig....

    [...]

  • ...1A), BPND (given here for caudate nucleus) shows a saturation-like behavior with an increasing number of EM-equivalent iterations (=number of iterations number of subsets in case of 2D/3D-OSEM), being close to convergence at approximately 100 EM-equivalent iterations (96; ie, 6 iterations with 16 subsets in the present example), in line with the recent phantom study by Dickson et al.(10) The variability of counts in the occipital cortex, in turn, increases almost linearly with the number of EM-equivalent iterations (Fig....

    [...]

  • ...1).10 Furthermore, Dickson et al10 showed in their phantom study that the same 2D-OSEMRM algorithm performed with 200 EM-equivalent iterations gave 4% to 17% higher BPND estimates than FBP did....

    [...]

Journal ArticleDOI
TL;DR: OSEM reconstruction including the distance-dependent resolution compensation algorithm was reasonably successful in achieving isotropic and stationary resolution and improving the quantitative accuracy for brain perfusion SPECT.
Abstract: Iterative reconstruction techniques such as an ordered subsets-expectation maximization (OSEM) algorithm can easily incorporated various physical models of attenuation or scatter. We implemented OSEM reconstruction algorithm incorporating compensation for distance-dependent blurring due to the collimator in SPECT. The algorithm was examined by computer simulation to estimate the accuracy for brain perfusion study.Methods: The detector response was assumed to be a two-dimensional Gauss function and the width of the function varied linearly with the source-to-detector distance. The attenuation compensation (AC) was also included. To investigate the properties of the algorithm, we performed computer simulations with the point source and digital brain phantoms. In the point source phantom, the uniformity of FWHM for the radial, tangential and longitudinal directions was evaluated on the reconstruction image. As for the brain phantom, quantitative accuracy was estimated by comparing the reconstructed images with the true image by the mean square error (MSE) and the ratio of gray and white matter counts (G/W). Both noise free and noisy simulations were examined.Results: In the point source simulation, FWHM in radial, tangential and longitudinal directions were 14.7, 14.7 and 15.0 mm at the image center and were 15.9, 9.83 and 10.6 mm at a distance of 15 cm from the center by using FBP, respectively. On the other hand, they were 8.12, 8.12 and 7.83 mm at the image center, and were 7.45, 7.44 and 7.01mm at 15 cm from the center by OSEM with distance-dependent resolution compensation (DRC). An isotropic and stationary resolution was obtained at any location by OSEM with DRC. The spatial resolution was also improved about 6.5 mm by OSEM with DRC at the image center. In the brain phantom simulation, the blurring at the edge of the brain structure was eliminated by using OSEM with both DRC and AC. The G/W was 2.95 and 2.68 for noise free and noisy cases, respectively, when no compensation was performed. But the values for G/W without and with noise became 3.45 and 3.21 with AC only and were improved to 3.75 and 3.71 with both AC and DRC. The G/W approached the true value (4.00) by using OSEM with both AC and DRC even when there was statistical noise.Conclusion: In conclusion, OSEM reconstruction including the distance-dependent resolution compensation algorithm was reasonably successful in achieving isotropic and stationary resolution and improving the quantitative accuracy for brain perfusion SPECT.

57 citations


"Image quality and data quantificati..." refers methods in this paper

  • ...In turn, several iterative reconstruction methods that can incorporate models of the physical aspects of SPECT imaging (eg, resolution, collimator, scatter radiation, and attenuation) have been proposed, facilitating improved image quality, most notably ordered-subset expectation maximization (OSEM) reconstruction with 3-dimensional (3D) resolution recovery.(2) In the present work, we contemplated an OSEM method that uses a measured 3D beam model for collimation for image reconstruction, which is performed simultaneously for all slices (3D-OSEM; Flash 3D Technology; Siemens, Erlangen, Germany)....

    [...]

Journal ArticleDOI
TL;DR: The use of OSEM3D avoids deformation of hot SPECT lesions in z-direction, of particular importance in SPECT/CT hybrid imaging capitalizing on the exact match of both modalities.

53 citations


"Image quality and data quantificati..." refers methods in this paper

  • ...Three-dimensional OSEM was shown to effectively minimize data deformation in the z direction and to improve SPECT image quality compared with conventional 2-dimensional (2D) OSEM.3 In addition, 3D-OSEM was found to be superior to FBP in image noise for low count statistics.4 Consequently, an improved image quality may be yielded even with a considerably reduced (approximately j50...

    [...]

  • ...Furthermore, whereas 3D-OSEM was performed with recovery correction, this was not the case for 2D-OSEM, which explains that the increase in counts and BPND was considerably larger for 3D-OSEM than 2D-OSEM....

    [...]

  • ...However, as a unique feature, 3D-OSEM reconstructs all slices simultaneously and models the collimator beams at all depths, which provides isotropic spatial resolution and minimizes localization errors and shape distortions in comparison to 2D-OSEM.3 Regression analyses revealed an excellent correlation between FBPlow and all other methods (R 2 Q 0.97)....

    [...]

  • ...Thus, the present study was undertaken to investigate possible benefits of 3D-OSEM reconstruction for DAT SPECT imaging in image quality and data quantification in comparison to standard FBP and 2DOSEM....

    [...]

  • ...%) injected activity dose and/or acquisition time.5,6 These features may be a particular advantage of 3D-OSEM in DAT or dopamine receptor SPECT studies: These studies are usually quantified by pseudo or peak equilibrium analyses, in which the estimate of binding site density (binding potential, BPND) 7 is calculated by the ratio of specific striatal ligand uptake to nonspecific ligand uptake in a reference region.8 Thus, an improved delineation of high-uptake striatal structures with enhanced signal recovery and an optimal image reconstruction of the low-uptake reference region may be provided by 3D-OSEM....

    [...]

Related Papers (5)