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1.5 tesla mr system

Manufactured by Philips
Sourced in United States

The 1.5 Tesla MR system is a magnetic resonance imaging (MRI) device manufactured by Philips. It generates a static magnetic field of 1.5 Tesla, which is used to produce detailed images of the body's internal structures. The system's core function is to provide high-quality diagnostic imaging capabilities for healthcare professionals.

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7 protocols using 1.5 tesla mr system

1

Quantifying Visceral Fat and Hepatic Triglycerides

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Imaging was performed on a 1.5 Tesla MR system (Philips Medical Systems). VAT was quantified by a turbo spin echo imaging protocol with MRI. At the level of the fifth lumbar vertebra, 3 transverse images each with a slice thickness of 10 mm were obtained during a breath-hold. Visceral fat area was converted from the number of pixels to centimeters squared with the use of in-house developed software (MASS, Medis) and the average of the 3 slices was used in the analyses (29 (link)).
HTGC was quantified by proton magnetic resonance spectroscopy (1H-MRS) of the liver (35 (link)). An 8-mL voxel was positioned in the right lobe of the liver, avoiding gross vascular structures and adipose tissue depots. Sixty-four averages were collected with water suppression. Spectra were obtained with an echo time of 26 ms and a repetition time of 3000 ms. Data points (1024) were collected with use of a 1000-Hz spectral line. Without changing any parameters, spectra without water suppression, with a repetition time of 10 s and 4 averages were obtained as an internal reference. 1H-MRS data were fitted with use of Java-based magnetic resonance user interface software (jMRUI version 2.2), as described previously (36 (link)). HTGC relative to water was calculated as the sum of the signal amplitudes of methyl and methylene divided by the signal amplitude of water ×100.
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2

Hippocampal Volume Quantification from MRI

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High resolution T1-weighted brain images were acquired on a Philips 1.5 Tesla MR system (Philips Medical System, Andover, MA, USA). Images were collected by means of an axial three-dimensional fast field echo sequence (field of view 256 mm × 256 mm; repetition time 24 ms; echo time 5 ms; flip angle 40 degrees; slice thickness 1 mm).
After all scans were visually inspected to be valid, cortical and subcortical reconstruction and volumetric segmentation were performed with the Freesurfer software version 5.3.0 (http://surfer.nmr.mgh.harvard.edu). The whole procedure included motion correction, intensity normalization, automated topology corrections and automatic segmentations of cortical and subcortical regions, as documented elsewhere (Dale et al., 1999 (link); Dale and Sereno, 1993 (link); Fischl and Dale, 2000 ; Fischl et al., 2001 ; Fischl et al., 2002 (link); Fischl et al., 2004 (link); Fischl et al., 1999 (link); Han et al., 2006 (link); Jovicich et al., 2006 (link); Ségonne et al., 2004 (link)). The regions labeled as left and right hippocampus were extracted, and the corresponding volumes were calculated (Fischl et al., 2002 (link)). Both left and right hippocampus volumes were scaled by the estimated total intracranial volume for each subject to control for differences in head size.
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3

Hepatic Triglyceride and CETP Assessment

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Hepatic triglyceride content was quantified by 1H-MRS on a 1.5 Tesla MR system (Philips Medical Systems, Best, the Netherlands). CETP concentrations were measured with ELISA kits according to the manufacturer’s instructions (DAIICHI CETP ELISA, Daiichi, Tokyo, Japan), in serum that had undergone one previous freeze-thaw cycle. Fasting concentrations of ALT and AST were measured with a Cobas Integra 800 analyzer (Roche Diagnostics, Mannheim, Germany). More detailed information on covariates can be found in the supplementary information.
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4

MRI-Guided Radiosurgery Planning Workflow

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The patient underwent planning MRI scans using a 1.5 tesla MR system (Philips Achieva, Best, Netherlands) with a single-channel sense head coil MRI. We obtained T1-weighted, T1-weighted with gadolinium enhancement, and T2-weighted images. The patient was placed on the couch and their head was fixed using the head cushion (MOLDCARE RI II; ALCARE, Tokyo, Japan) and the Nanor® Mask (Elekta Instrument AB, Stockholm, Sweden). The planning CBCT scan of 6.3 mGy was performed while the head was immobilized. The planning CBCT was co-registered with the planning MRI using the Leksell GammaPlan (LGP). Once CBCT-MRI co-registration was complete, the dose distribution was recalculated to adapt to the new coordinate system. Dosimetry planning was performed by neurosurgeons (Y.G.K. and Y.S.D.) and medical physicists (H.C.M. and B.J.M.).
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5

Abdominal Fat and Liver Triglyceride Quantification

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Imaging was performed on a 1.5 Tesla MR system (Philips Medical Systems, Best, the Netherlands). Abdominal visceral fat depots were quantified by MRI using a turbo spin echo imaging protocol. At the level of the fifth lumbar vertebra three transverse images each with a slice thickness of 10 mm were obtained during a breath-hold. Abdominal visceral fat areas were converted from the number of pixels to centimeters squared, using in-house-developed software (MASS, Medis, Leiden, The Netherlands) and the average of the three slices was used in our analyses (Hammer et al. 2008 (link)).
Hepatic triglyceride content was quantified by 1H-MRS of the liver as described previously (Hammer et al. 2008 (link)). Briefly, an 8-mL voxel was positioned in the right lobe of the liver. Spectra were obtained with and without water suppression with free breathing and fitted using Java based MR user interface software (jMRUI version 3.0, Leuven, Belgium) (Naressi et al. 2001 (link)). Mean line widths were calculated. The resonances of methylene and methyl were fitted and used for calculation of triglycerides. HTGC relative to water was calculated as (signal amplitude of triglyceride)/(signal amplitude of water) × 100.
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6

Quantifying Liver Fat Content via 1H-MRS

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In a random subgroup of participants without MRI contraindications, liver fat content was quantified by 1H-MRS [31 (link)] on a 1.5 Tesla MR system (Philips Medical Systems, Best, the Netherlands). An 8 ml voxel was positioned in the right lobe of the liver, avoiding gross vascular structures and adipose tissue depots. Sixty-four averages were collected with water suppression. Spectra were obtained with an echo time of 26 ms and a repetition time of 3000 ms. Data points (1024) were collected using a 1000 Hz spectral line. Without changing any parameters, spectra without water suppression, with a repetition time of 10 s and with four averages, were obtained as an internal reference. 1H-MRS data were fitted using Java-based magnetic resonance user interface software (jMRUI version 2.2, Leuven, Belgium) [32 (link)]. Hepatic triacylglycerol content relative to water was calculated as the sum of signal amplitudes of methyl and methylene divided by the signal amplitude of water and then multiplied by 100. Non-alcoholic fatty liver disease (NAFLD) was defined as liver fat content ≥5.56% [33 (link)].
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7

Quantifying Abdominal Fat Composition

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Body weight and percent body fat were assessed by the Tanita bioimpedance balance (TBF-310; Tanita International Division, United Kingdom) without shoes and 1 kg was subtracted from the body weight. BMI was calculated by dividing the weight in kilograms by the height in meters squared. Waist circumference was measured midway between the border of the lower costal margin and the iliac crest. Abdominal subcutaneous and visceral fat depots were quantified by a turbo spin echo imaging protocol using MRI.
Imaging was performed on a 1.5 Tesla MR system (Philips Medical Systems, Best, the Netherlands). At the level of the fifth lumbar vertebra, three transverse images each with a slice thickness of 10 mm were obtained during a breathhold. Abdominal subcutaneous and visceral fat areas were quantified by converting the number of pixels to square cm for all three slides, and the mean of SAT and VAT areas of the three slides was used in the analyses. Earlier studies have shown that such cross-sectional images are highly correlated to total volumes (correlation coefficients around 0.8) and can therefore validly represent abdominal SAT and VAT. 20
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