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Biograph 40 pet ct

Manufactured by Siemens
Sourced in Germany

The Biograph 40 PET/CT is a hybrid imaging system developed by Siemens. It combines Positron Emission Tomography (PET) and Computed Tomography (CT) technologies to provide high-resolution imaging capabilities for medical applications.

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3 protocols using biograph 40 pet ct

1

Multimodal Neuroimaging Protocol for Alzheimer's Disease

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Structural MR (Biograph mMR) and [18F]florbetapir and [18F]flortaucipir PET neuroimaging (Biograph 40 PET/CT; Siemens Medical Solutions; Erlanger, Germany) were performed as previously described (Day et al. , 2017 (link), Day et al. , 2018 (link)). Briefly, T1-weighted images were acquired using magnetization-prepared rapid-acquisition gradient echo sequences, before cortical and subcortical parcellation was completed using FreeSurfer 5.3 (http://freesurfer.net), yielding 46 unique brain regions, corresponding to the Desikan atlas. PET imaging was performed following injection of 7.4–11.3 mCi of [18F]florbetapir or 6.8–10.9 mCi of [18F]flortaucipir, and data from the 50- to 70- minute and 80- to 100-minute post-injection windows converted to SUVRs, respectively, using the cerebellar cortex as a reference. Regional values were partial volume corrected using a geometric transfer matrix approach (Su et al. , 2015 (link), Su et al. , 2013 (link)). For visualization, voxel-wise PET were aligned to the patient’s T1 images.
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2

PiB PET Imaging Protocol for Quantifying Amyloid Deposition

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11C-labeled Pittsburgh compound B (PiB) PET imaging was performed on each subject. Subjects were given 6–20 mCi 11C-labeled PiB intravenously. Dynamic scans (60 mins;12 x 10 s, 3 × 60 s, 11 × 5 min) were conducted on one of the three Siemens PET scanners: ECAT HR+ 962 PET, Biograph 40 PET/CT, and BioGraph mMR PET-MR. PET imaging analysis was performed as follows (LaMontagne et al., 2019 (link)). Reconstructed images were first smoothed to achieve a spatial resolution of 8 mm. Motion correction was applied to each set of dynamic images with an extensive frame-by-frame registration procedure. No partial volume or entropy corrections were applied. Brain parcellation was performed for each subject by registering PET images to the corresponding T1-weighted MR images, which had been segmented using FreeSurfer 5.3 (http://surfer.nmr.mgh.harvard.edu). Reference region-based Logan graphical analysis was implemented on each segmented region to calculate DVR (Logan et al., 1996 (link)). Regional SUVR was estimated for all the regions. Both DVR and SUVR used 30–60 min post-injection as the time window with the cerebellar cortex as the reference region.
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3

Dynamic PET Imaging of Myocardial Blood Flow

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One day prior to the PET study, patients were instructed to abstain from caffeinated or xanthine-containing foods and beta-blockers. On the day of the PET study, subjects were placed supine and a computed tomography (CT) scan was collected for localization and estimation of attenuation. All subjects underwent a 10 minute dynamic PET collected on a Biograph 40 PET/CT (Siemens Medical Solutions, Erlangen, Germany) immediately following a 370 MBq bolus of [N-13]-ammonia. Approximately, 1 hour later, an additional 10 minute dynamic stress study was collected by first intravenously administering adenosine (140 μg/kg/min) for 3 minutes prior to the administration of [N-13]-ammonia. Adenosine infusion was terminated at 6 minutes total duration. PET list mode data were divided into 21 frames (12 × 10 sec, 6 × 30 sec, 2 × 60 sec, 1 × 180 sec) and reconstructed with a 3-dimensional ordered-subset expectation maximization algorithm (4 iterations, 8 subsets) including all data corrections to a 168 × 168 × 111 matrix with 1.85 × 1.85 x. 3mm voxels. A post-reconstruction filter of 5 mm full-width-at-half-maximum was applied to all frames.
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