Hdxt 1.5t scanner

Manufactured by GE Healthcare

The HDxt 1.5T scanner is a magnetic resonance imaging (MRI) system manufactured by GE Healthcare. It is designed to capture high-quality images of the human body. The core function of the HDxt 1.5T scanner is to generate detailed 3D images of internal structures and organs using a 1.5 Tesla magnetic field.

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Lab products found in correlation

Achieva 3t scanner, by Philips (2 mentions) 1.5t gyroscan scanner, by Philips (2 mentions) 3t tim trio, by GE Healthcare (2 mentions) 8 channel head coil, by GE Healthcare (1 mentions) Discovery mr750w 3.0t scanner, by GE Healthcare (1 mentions) 3t intera quasar scanner, by Philips (1 mentions) 3t achieva quasar dual scanner, by Philips (1 mentions) Intera quasar scanner, by Philips (1 mentions)

Close spelling variants of this product

GE Signa HDxt 1.5T scanner 1.5T scanner Scanners

5 protocols using hdxt 1.5t scanner

Variable Density Spiral Imaging Protocol

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All acquisitions were performed on a GE HDxt 1.5T scanner (GE Healthcare, Chicago, IL). Variable density spiral trajectories (FOV = 22.5 cm, matrix = 192 × 192, total readout length: 2.9 ms, full details in Supporting Information Figure S2, showing the gradient waveform and the corresponding k‐space trajectory) with golden‐angle rotations between each TR that were used.15 We acquired only 1 interleave for each time frame. The sampling trajectories were followed by a spoiler gradient achieving an 8π dephasing across a 5‐mm slice. RF spoiling with quadratic phase increment of 117° was used. For the DBFW acquisition, variables TE/TR were used as shown in Figure 1. Transient state acquisitions were preceded by a 10‐ms long hyperbolic secant adiabatic inversion pulse. A single gradient delay was estimated and used to correct the trajectory errors.29 Acquisition time was 16 s per slice.

Cencini M., Biagi L., Kaggie J.D., Schulte R.F., Tosetti M, & Buonincontri G. (2018). Magnetic resonance fingerprinting with dictionary‐based fat and water separation (DBFW MRF): A multi‐component approach. Magnetic Resonance in Medicine, 81(5), 3032-3045.

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Diffusion Tensor Imaging of Brain Structure

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Diffusion tensor imaging was performed on subjects who meet the abovementioned criteria, and the images were further processed to eliminate artifacts and to exclude low‐quality images. All subjects have signed consent forms.
MRI and DTI data were collected on an HDXT 1.5 T scanner (General Electric Health Care) with 8‐channel head coil. The scanning protocol includes axial DTI with echo planar imaging (EPI) sequence: TR/TE = 8000/98.3 ms, slice thickness = 4.0 mm, slice gap = 0.0 mm, FOV = 22 × 22 cm, and NEX = 2; the scan was performed from the lower edge of corpus callosum to the top edge of the brain with a total of 18 slices. In addition to the DTI acquirement, which was used for the analysis here, the scanning protocol included structural sequences to rule out any impairment. The duration of the scan is 4 min 24 s.

Zhou L., Tian N., Geng Z., Wu B., Dong L, & Wang M. (2020). Diffusion tensor imaging study of brain precentral gyrus and postcentral gyrus during normal brain aging process. Brain and Behavior, 10(10), e01758.

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Spinal MRI Lesion Measurement

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Brain and whole spine MRIs (GE SIGNA™ HDxt 1.5 T scanner or GE Discovery™ MR750w 3.0 T scanner) were conducted in all patients. Those patients with suspected demyelinating brain lesions were excluded from this study. MRI lesion length was independently measured as vertebral body segments of the longest hyperintense lesion on sagittal T2-weighted images by two authors (S.Y.K. and S.-Y.S.). Any discrepancies were resolved through discussion to reach a consensus.

Min J.H., Sohn S.Y., Lee S.Y., Seo S.H., Kim S.Y., Park B., Kim S.I, & Joo I.S. (2023). Neutrophil-to-lymphocyte ratio is an independent predictor for neurological disability in patients with idiopathic transverse myelitis. BMC Neurology, 23, 336.

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Multimodal MRI Acquisition Across Scanners

Cited 2 times

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We analysed T1- and T2-weighted Fluid Attenuated Inversion Recovery (FLAIR) scans acquired across 7 MRI scanners. KLOSCAD and H70-study used Philips 3T Achieva scanners (Philips Medical Systems, The Netherlands) (19 (link), 23 (link)), and PATH used a Philips 1.5T Gyroscan scanner (22 (link)). Of the 474 MAS participants, 240 were scanned with a Philips 3T Intera Quasar scanner, and the remaining 234 with a Philips 3T Achieva Quasar Dual scanner (21 (link)). SLAS-I and SLAS-II used a Siemens 3T Tim Trio and a GE Healthcare 1.5T HDXT scanner, respectively. Detailed imaging acquisition parameters are summarised in Supplementary Table 1.

Lin K., Wen W., Lipnicki D.M., Mewton L., Chen R., Du J., Wang D., Skoog I., Sterner T.R., Najar J., Kim K.W., Han J.W., Kim J.S., Ng T.P., Ho R., Chua D.Q., Anstey K.J., Cherbuin N., Mortby M.E., Brodaty H., Kochan N., Sachdev P.S, & Jiang J. (2023). Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: the COSMIC consortium. medRxiv.

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Harmonized Multimodal Brain Imaging Protocols

Cited 2 times

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We analyzed T1‐ and T2‐weighted fluid attenuated inversion recovery (FLAIR) scans acquired across seven MRI scanners. KLOSCAD and H70 Study used Philips 3T Achieva scanners (Philips Medical Systems),
¹⁹ (link),
²³ (link) and PATH used a Philips 1.5T Gyroscan scanner.
²² (link) Of the 474 MAS participants, 240 were scanned with a Philips 3T Intera Quasar scanner, and the remaining 234 with a Philips 3T Achieva Quasar Dual scanner.
²¹ (link) SLAS‐I and SLAS‐II used a Siemens 3T Tim Trio and a GE Healthcare 1.5T HDXT scanner, respectively. Detailed imaging acquisition parameters are summarized in Table S1 in supporting information.

Lin K., Wen W., Lipnicki D.M., Mewton L., Chen R., Du J., Wang D., Skoog I., Sterner T.R., Najar J., Kim K.W., Han J.W., Kim J.S., Ng T.P., Ho R., Chua D.Q., Anstey K.J., Cherbuin N., Mortby M.E., Brodaty H., Kochan N., Sachdev P.S, & Jiang J. (2024). Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: The COSMIC consortium. Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring, 16(1), e12567.

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