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Ge signa pet mr 3.0 tesla scanner

Manufactured by GE Healthcare
Sourced in United States

The GE Signa PET/MR 3.0 Tesla scanner is a hybrid imaging system that combines positron emission tomography (PET) and magnetic resonance imaging (MRI) technologies. It is designed to capture high-resolution images of the body's anatomy and function simultaneously.

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4 protocols using ge signa pet mr 3.0 tesla scanner

1

Multimodal Neuroimaging of Fatal Familial Insomnia

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Magnetic resonance (MR) scanning was performed on a GE Signa PET/MR 3.0 Tesla scanner (GE Healthcare, Milwaukee, WI) at Xuanwu Hospital, Capital Medical University. A three-dimensional T1-weighted fast field echo sequence (repetition time = 25 ms, echo time = 4.6 ms, flip angle = 30°, 220 contiguous axial slices with a voxel size = 0.89 × 0.89 × 0.8 mm, matrix size = 256 × 256, and a field of view = 230 × 182 mm) was used for data acquisition. One patient was not cooperative during the scanning. Therefore, only four patients with FFI were scanned from 2017 to 2019.
PET scans were acquired at Xuanwu Hospital using a GE Signa PET/MR 3.0 Tesla scanner (GE Healthcare, Milwaukee, WI). All five patients with FFI and 10 healthy controls underwent PET scans from 2017 to 2019. The 18F-FDG PET images were acquired over 15 min, following a bolus intravenous injection of 18F-FDG (approximately 308 MBq) with an uptake time of 30 min. Images were reconstructed using an ordered subset expectation maximization algorithm with 16 subsets and four iterations.
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2

Comprehensive Workup for Neurological Disorders

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Genomic DNA was extracted from fresh peripheral blood leukocytes, and whole exome sequencing (WES) libraries were generated using the Agilent SureSelect Human All Exon V6 Kit (Agilent Technologies, Santa Clara, CA, United States), and then sequenced as described previously [19 (link)]. CSF samples were collected at our hospital and sent to the Chinese Center for Disease Control and Prevention (CDC) to detect CSF 14-3-3 protein via Western blotting [20 (link)]. EEG was performed using a 21-channel digital EEG system (Micromed, Italy). PSWC was defined according to the criteria published in 1996 [21 (link)]. Brain MRI scans were performed on a 3.0T MRI scanner (Erlangen, Germany) and T1-weighted image (T1WI), T2-weighted image (T2WI), fluid-attenuated inversion recovery (FLAIR), diffusion-weighted imaging (DWI), and diffusion coefficient (ADC) results were acquired. The typical MRI features were high signals in caudate/putamen or at least two cortical regions (temporal, parietal and occipital) either via DWI or FLAIR. The CSF RT-QuIC assay was performed at the Chinese CDC using the protocol as described previously [22 (link)]. PET scans were performed on the GE Signa PET/MR 3.0 Tesla scanner (GE Healthcare Milwaukee, WI) using 18F-FDG (~308 MBq) to assess the metabolism of brain.
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3

Diffusion Tensor Imaging of Asymptomatic CJD Families

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Magnetic resonance (MR) scanning was performed on a GE Signa PET/MR 3.0 Tesla scanner (GE Healthcare, Milwaukee, WI, United States) in Xuanwu Hospital, Capital Medical University. All 13 asymptomatic family members received their first PET/MR scans in March 2017. Nine of them received follow-up scans in March 2019. All 10 patients with symptomatic CJD received their scans on the same scanner during their hospital stays from 2018 to 2020. DTI data were acquired using a spin echo-echo planar imaging sequence (TR/TE = 16,500/97.6 m) with a b-value of 1,000 s/mm2, applying diffusion gradients along 30 directions. Seventy axial slices, with no slice gap, were acquired (FOV = 220 × 220 mm2, matrix = 112 × 112, slice thickness = 2 mm, and number of excitations = 1).
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4

Multimodal Neuroimaging Protocol for Brain Abnormalities

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All MRIs were performed at 3.0 T (Erlangen, Germany) with the following sequences: T1 weighted image, T2 weighted image, fluid‐attenuated inversion recovery (FLAIR), diffusion‐weighted imaging (DWI), and diffusion coefficient values. Abnormal or normal signal intensity was assessed using DWI and T2 FLAIR in each of the following regions: cortex, basal ganglia, and thalamus. SPECT scans were conducted using a double‐head rotating gamma camera (Siemens Healthcare, Erlangen, Germany) with 99mTc‐ECD (25 mCi) to detect blood flow perfusion. PET scans were conducted using a GE Signa PET/MR 3.0 Tesla scanner (GE Healthcare, Milwaukee, WI) using 18F‐FDG FDG (~308 MBq) to track glucose metabolism in the brain.
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