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1.5 tesla machine

Manufactured by Philips

The 1.5 Tesla machine is a medical imaging device used for Magnetic Resonance Imaging (MRI) scans. It generates a strong magnetic field of 1.5 Tesla, which is used to produce detailed images of the body's internal structures.

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2 protocols using 1.5 tesla machine

1

Functional Neuroimaging Using Gradient Echo-EPI

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Functional data were collected using gradient echo-planar T2-weighted images acquired on a Philips 1.5 Tesla machine (TR = 2000 ms; TE = 40 ms; slice thickness = 5 mm with no gap, 26 slices; FOV = 220mm × 220 mm; voxel size = 2.75 mm × 2.75 mm × 5 mm; flip angle = 90°). An experimental run consisted of 26 slices/volume, 160 volumes, eight per fixation baseline at the beginning and end of each run, and nine per block for the four experimental conditions (each repeated four times in a single run). At the beginning of the session, a whole-brain T1-weighted anatomical image was collected for each participant (TR = 7.5 ms; TE = 3.4 ms; voxel size = 1 mm × 1 mm × 1 mm; FOV = 240 × 240 mm; 150 slices; no gap; flip angle, 8°). Stimuli were presented on an Avotec Silent Vision (Model SV-7021) fiber-optic visual presentation system with binocular projection glasses controlled by a Dell laptop running E-Prime software synchronized to trigger-pulses from the magnet.
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2

Liver Fibrosis Assessment via MRI Protocols

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All patients and controls were subjected to pelviabdominal MRI using a 1.5-tesla machine (Philips, Inginea). The T2 MRI-weighted images were obtained in axial and coronal axes with respiratory gating, using the following parameters: 80 ms echo time, 1250 ms repetition time, 400 × 400 matrix size, 6-mm slice thickness, 400 × 350 × 196 mm field of view.
The DTI was performed using a single-shot fast spin-echo echo-planar sequence with respiratory gating, using the following parameters: 85 ms echo time, 6000 ms repetition time, 128 × 128 matrix size, 2.5-mm slice thickness, 224 × 224 × 196 mm field of view, and 3 averages.
The apparent diffusion coefficient (ADC) of the liver was estimated using the b values of 50, 400, and 800 s/mm2. The ADC values were calculated at each of the 4 right liver segments, and the mean of them was calculated to get the final ADC. We omitted the left lobe to avoid motion artifacts (caused by cardiac movements). The collected ADC values were compared between patients and controls, and then correlated with the degree of liver fibrosis in the patient group. Merged images between colour-mapped axial cuts of DTI and axial T2 WI were obtained, and example images are presented in Figure 1 and Figure 2.
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