HeinzelCluster: accelerated reconstruction for FORE and OSEM3D

Vollmar, Stefan; Michel, Christian; Treffert, J.; Newport, D.F.; Casey, Michael; Knoss, C.; Wienhard, K.; Liu, X.; Defrise, Michel; Heiss, Wolf‐Dieter

doi:10.1109/nssmic.2001.1008684

Cited by 16 publications

(17 citation statements)

References 12 publications

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“…For each subject, MRI data were coregistered to the summed 18 F-DPA-714 image (0.3-24 min) using VINCI software (11). Regional time-activity curves were extracted using PVELab software (12), in which the Hammers template (13) was projected onto the coregistered MRI scan and subsequently applied to the dynamic 18 F-DPA-714 scan.…”

Section: Discussionmentioning

confidence: 99%

“…18 F-labeled N,N-diethyl-2-(2-[4-(2-fluoroethoxy)phenyl]-5,7-dimethylpyrazolo[1,5-a]pyrimidine-3-yl)acetamide (DPA-714) is a PET ligand with high specificity for TSPO. Early studies showed that 18 F-DPA-714 had better bioavailability (4), lower nonspecific binding, and higher nondisplaceable binding potential (BP ND ) than 11 C-DPA-713 (5). It is considered to be superior to 11 C-PK11195 (6-9) in specificity, and hence, it could be a potential tracer for assessing the early stages of AD.…”

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confidence: 99%

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Parametric Binding Images of the TSPO Ligand ¹⁸F-DPA-714

Golla¹,

Boellaard²,

Oikonen³

et al. 2016

J Nucl Med

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F-labeled N,N-diethyl-2-(2-[4-(2-fluoroethoxy)phenyl]-5,7-dime-thylpyrazolo [1,5-α]pyrimidine-3-yl)acetamide (DPA-714) is a radioligand for the 18-kDa translocator protein. The purpose of the present study was to identify the best method for generating quantitative parametric images of 18 F-DPA-714 binding. Methods: Ninety-minute dynamic 18 F-DPA-714 PET scans with full arterial sampling from 6 healthy subjects and 9 Alzheimer disease (AD) patients were used. Plasma-input-based Logan graphical analysis and spectral analysis were used to generate parametric volume of distribution (V T ) images. Five versions of Ichise, reference Logan, and 2 basis function implementations (receptor parametric mapping and simplified reference tissue model 2 [SRTM2]) of SRTM, all using gray matter cerebellum as the reference region, were applied to generate nondisplaceable binding potential (BP ND ) images. Results: Plasma-input Logan analysis (r 2 5 0.99; slope, 0.88) and spectral analysis (r 2 5 0.99, slope, 0.93) generated estimates of V T that correlated well with values obtained using nonlinear regression. BP ND values generated using SRTM2 (r 2 5 0.83; slope, 0.95) and reference Logan analysis (r 2 5 0.88; slope, 1.01) correlated well with nonlinear regression-based estimates. Conclusion: Both Logan analysis and spectral analysis can be used to obtain quantitatively accurate V T images of 18 F-DPA-714. In addition, SRTM2 and reference Logan analysis can provide accurate BP ND images. These parametric images could be used for voxel-based comparisons.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Parametric Binding Images of the TSPO Ligand ¹⁸F-DPA-714

Golla¹,

Boellaard²,

Oikonen³

et al. 2016

J Nucl Med

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“…To increase the signal-to-noise ratio and enable efficient reconstruction of the cortical sheet, each pair of individual MR acquisitions was averaged after coregistration (19). For coregistration, MR images were skull-stripped using the Brain Extraction Tool ([BET], part of the FMRIB software library [FSL]; http:// www.fmrib.ox.ac.uk/fsl) (20).…”

Section: Methodsmentioning

confidence: 99%

Cortical Flattening Applied to High-Resolution ¹⁸F-FDG PET

Klein¹,

Herholz²,

Wienhard³

et al. 2007

J Nucl Med

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Group studies using PET and other types of neuroimaging require some means to achieve congruence of brain structures across subjects, such that scans from individuals varying in brain shape and gyral anatomy can be analyzed together. Volume registration methods are the most widely used approach to achieve this congruence. They are fast and typically require little manual interaction, but, unfortunately, it is difficult to achieve a good match between cortical areas in volume space, especially where folding patterns vary across subjects. Cortical flattening is a recent, alternative strategy: Its key features are explicit definition of cortex, such that white matter or cerebrospinal fluid compartments are largely excluded from the analysis volume, and subsequent registration of the cortical sheet in its natural, 2-dimensional topology. This type of registration has been demonstrated to provide better matching of congruent cortical structures than volume methods and, thus, offers a potentially more robust way of analyzing PET data. Methods: Here, we explore the applicability of cortical flattening of coregistered MRI to 18 F-FDG PET on the HRRT system (high-resolution research tomograph), the highest-resolution whole-head scanner available to date. Results: We report average values and SD of cortical metabolism in a pilot study of the dominant hemisphere in 9 control subjects and provide estimates of group sizes necessary for studies using this technique. Conclusion: We conclude that cortical flattening with subsequent surface registration is a feasible and promising strategy for group studies on the HRRT, providing the highest fidelity maps of human cortical glucose consumption to date.

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“…In their work, Shattuck et al [106] describe a parallel implementation of the MAP-PCG reconstruction [26] using a masterslave model with 9 dual PC nodes. The work of Vollmar [107] describes a parallel extension of the OSEM3D reconstruction [92] and is also using a masterslave model with 7 quad PC nodes. By calculating the system matrix on the fly and neglecting the physics of the detection system these authors could handle very large reconstruction problems on the HRRT.…”

Section: Parallel Implementation Of Iterative Reconstructionmentioning

confidence: 99%