A total 200 blood oxygen level dependent based functional MRI images were acquired at 3.0 Tesla (Siemens) with 12 channel head coil using T2*-weighted gradient echo, echo-planar imaging pulse sequence (35 axial slices, TR=2200 ms, TE=30 ms, flip angle=90 degrees, FOV=192×192 mm, acquisition matrix=64×64, slice thickness=3 mm, voxel size=3×3×3.3 mm). A high resolution structural image was obtained with a T1 weighed sequence (TI=900 ms, TR=1800 ms, TE=2.52 ms, Flip angle=9 degrees, FOV=256×256 mm, slice thickness=1 mm, voxel size=1×1×1 mm) before fMRI scanning.
3.0 tesla
Manufactured by Siemens
Sourced in Germany
The 3.0 Tesla is a powerful magnetic resonance imaging (MRI) system designed for advanced medical imaging. It generates a strong magnetic field of 3.0 Tesla, which enables high-resolution imaging and enhanced diagnostic capabilities. The core function of the 3.0 Tesla is to provide detailed visualization of the body's internal structures, allowing healthcare professionals to make informed decisions in patient care.
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Lab products found in correlation
2 protocols using 3.0 tesla
1
Blood Oxygen Level Dependent fMRI Acquisition
2
Multimodal Imaging-Guided Neurosurgical Navigation
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All patients underwent magnetic resonance imaging (MRI) before surgery (3.0 Tesla, Siemens, Germany). Specifically, to guarantee the visualization of the anatomical structures of interest, sagittal and axial volumetric T1-weighted images (slice thickness 1.0 mm, TR 6.4 ms, TE 3.0 ms, interslice gap 0 mm, flip angle 8°) were analyzed.
On the day of surgery, a dedicated videometric-tracked marker referred to as the optical frame marker, which was capable of automatic patient-to-image registration, was attached to the scalp (Figure 1 ). The optical frame marker consisted of target patterns comprising checkered target regions referred to as ‘XPoint’ that could be pinpointed on video image sequences and fiducial balls. After, an axial volumetric computed tomography (CT; slice thickness 0.625 mm, interslice gap 0 mm, 120 kVp) scan was taken. All images were loaded into Remebot software, and T1-weighted images were overlayed with the CT images and used as the reference due to MRI distortions.
On the day of surgery, a dedicated videometric-tracked marker referred to as the optical frame marker, which was capable of automatic patient-to-image registration, was attached to the scalp (
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