Baseline imaging was performed on a 3 Tesla Intera (Philips Healthcare, Best, the Netherlands) MRI scanner with a SENSE 8-channel head coil. 3D T1-weighted and a 3D FLAIR sequences were collected. Pseudocontinuous arterial spin labeling (ASL) sequences with a 2D EPI readout were acquired without and with flow crushing gradients: TR/TE = 4000/17 ms, labeling duration = 1650 ms, post-labeling delay first/last slice = 1525/2080 ms, FOV = 240 × 240 mm, resolution = 3.75 × 3.75 × 7 mm, 17 slices with 7 mm thickness, velocity cut-off of flow-crushing gradients in 3 directions 50 mm/s.15 (link),16 (link) Due to hardware replacement, follow-up imaging used a 3 Tesla Philips Ingenia scanner with a SENSE-16-channel head coil, using the same protocol. pCASL sequence parameters were maintained throughout the study to ensure continuity in the ongoing study. To evaluate comparability between scan results, a purposive sample of nine participants with a broad range of WMH severity were scanned on both scanners before and after hardware replacement, with a median interval of 6.0 months (IQR = 5.6–6.9). Scanning parameters were identical. WMH volumes obtained using automatic segmentation showed excellent agreement between scanners (two-way mixed intraclass correlation coefficient 0.99, p < 0.001).11 (link)
16 channel sense head coil
Manufactured by Philips
The 16-channel SENSE head coil is a specialized piece of lab equipment designed for magnetic resonance imaging (MRI) applications. It features 16 independent receiver channels that enable parallel imaging techniques, such as SENSE, to be used during MRI scans. The coil is optimized for imaging the human head and brain.
Automatically generated - may contain errors
Lab products found in correlation
10 protocols using 16 channel sense head coil
1
Harmonized Neuroimaging Acquisition Protocol
2
Longitudinal Brain Imaging Protocol across MRI Scanners
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Scan 1 was performed on a 3-Tesla Intera (Philips Healthcare, Best, the Netherlands) MRI scanner with a SENSE-8-channel head coil. For the current analyses, a 3-dimensional T1-weighted (repetition time, 6.6; echo time, 3.1 ms; flip angle, 9°; field of view, 270×270 mm 2 ; 170 sagittal slices; 1.2-mm slice thickness; and 1.1×1.1 mm 2 in-plane resolution) and a 3-dimensional fluid-attenuated inversion recovery sequence (repetition time/echo time, 4800/355 ms; inversion time, 1650 ms; field of view, 250×250 mm 2 ; 160 sagittal slices; 1.12mm thickness; interpolated to 0.56-mm thick [overcontiguous] slices during reconstruction; and 1.1×1.1 mm 2 in-plane resolution) were collected. Because of hardware replacement, scan 2 was performed on a 3-Tesla Philips Ingenia scanner with a SENSE-16-channel head coil, obtaining the same sequences. To ensure that the hardware replacement would not unduly influence the longitudinal analyses, a purposive sample of 9 participants with WMH load varying from minimal to severe was scanned on both scanners with a median interval of 6.0 months (interquartile range, 5.6-6.9). Scanning parameters were identical. WMH volumes obtained showed excellent agreement between scanners (2-way mixed intraclass correlation coefficient 0.99, P<0.001; Figure I in the online-only Data Supplement).
3
Cortical Surface Reconstruction and Electrode Localization
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Preoperative anatomic MRI scans were obtained using a 3T whole-body MR scanner (Philips Medical Systems) fitted with a 16-channel SENSE head coil. Images were collected using a magnetization-prepared 180° radio frequency pulse and rapid gradient-echo sequence with 1 mm sagittal slices and an in-plane resolution of 0.938 × 0.938 mm (Conner et al., 2011 (link)). Pial surface reconstructions were computed with FreeSurfer (v5.1; Dale et al., 1999 (link)) and imported to AFNI (Cox, 1996 (link)). Postoperative CT scans were registered to the preoperative MRI scans to localize electrodes relative to cortex. Subdural electrode coordinates were determined by a recursive grid partitioning technique and then validated using intraoperative photographs (Pieters et al., 2013 (link)).
4
Anatomical MRI-Based Cortical Reconstruction
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Pre-implantation anatomical MRI scans were collected using a 3T whole-body MR scanner (Philips Medical Systems, Bothell WA) equipped with a 16-channel SENSE head coil. Anatomical images were collected using magnetization-prepared 180 degree radio-frequency pulses and rapid gradient-echo (MP-RAGE) sequence, optimized for gray-white matter contrast, with 1 mm thick sagittal slices and an in-plane resolution of 0.938 x 0.938 mm [63 (link)]. Cortical surface models were reconstructed using FreeSurfer software (v5.1) [64 (link)], and imported to SUMA[65 (link)].
5
MRI-guided Neuroimaging Analysis Pipeline
6
Multimodal Brain Imaging and Electrode Localization
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Pre-operative anatomical MRI scans were obtained using a 3 T whole-body MR scanner (Philips Medical Systems) fitted with a 16-channel SENSE head coil. Images were collected using a magnetization-prepared 180° radiofrequency pulse and rapid gradient-echo sequence with 1 mm sagittal slices and an in-plane resolution of 0.938 × 0.938 mm. Pial surface reconstructions were computed with FreeSurfer (v5.1)64 (link) and imported to AFNI65 (link). Post-operative CT scans were registered to the pre-operative MRI scans to localize electrodes relative to cortical landmarks. Grid electrode locations were determined by a recursive grid partitioning technique and then optimized using intra-operative photographs66 (link). Depth electrode locations were informed by implantation trajectories from the ROSA surgical system.
7
Anatomical MRI Acquisition and Lesion Segmentation
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Anatomical MRI scans were obtained for Case 2 using a 3 T whole-body magnetic resonance scanner (Philips Medical Systems) fitted with a 16-channel SENSE head coil. Images were collected using a magnetization-prepared 180 radio-frequency pulse and rapid gradient-echo sequence with 1 mm sagittal slices and an in-plane resolution of 0.938 x 0.938 mm. The same specifications were used for Case 1, with the exception of a 1.5 T field strength and a transmit/receive head coil. Images and renderings were generated with MRIcroGL (https://www.nitrc.org/projects/mricrogl/ ). Lesion segmentations were drawn on axial slices by a trained neuropsychologist (author G.W.) using MRIcroGL and checked for accuracy by a neurologist (author N.T.). Cortical atrophy and ventricle dilation were not identified as part of the lesion segmentation. The central sulcus on each patient’s scan was traced by hand to provide an anatomical reference (with some approximation required inside the lesions).
8
MRI Brain Imaging of Preterm Infants
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
MRI scans were obtained during natural sleep without sedation at a GA of 36 to 41 weeks in all infants while they were positioned in a blanket and monitored by pulse oximetry during the scan. T1- and T2-weighted MRI scans and DTI scans were obtained using a Philips real-time, compact magnet 3.0-Tesla MRI system (Achieva 3.0T X-Series; Philips Healthcare, Amsterdam, The Netherlands) equipped with a 16-channel SENSE head coil. The T1-weighted images were obtained by sagittal T1 turbo field-echo sequences (repetition time [TR]/echo time [TE], 8.2/3.8 ms), and axial T2-weighted images were obtained using turbo spin-echo sequences (TR/TE, 4800/90 ms). DTI scans were obtained using a single-shot spin-echo planar sequence with a SENSE factor of 2 and an echo-planar imaging factor of 51 (b value, 800 s/mm2; number of diffusion gradient directions, 15; TR/TE, 8100/75 ms; 40–50 axial slices with a 2.0-mm thickness; field of view, 224 mm; matrix size, 112 × 112; total acquisition time, 6.5 minutes).
9
Multimodal Neuroimaging and Electrode Localization
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Anatomical imaging data was acquired with a 3 T whole-body MR scanner (Philips Medical Systems, Bothell WA) equipped with a 16-channel SENSE head coil prior to surgery. A magnetization-prepared 180o radio-frequency pulses and rapid gradient-echo (MP-RAGE) sequence with 1 mm thick sagittal slices and an in-plane resolution of 0.938 × 0.938 mm and functional MRI volumes (thirty-three axial slices, 3 mm slice thickness, 2.75 in-plane resolution, 30 ms TE, 2015 ms TR, 90° flip angle) were collected. For each subject, a 3-dimensional reconstruction of the pial surface was generated using FreeSurfer v4.543 (link). Subdural electrodes (SDEs) were localized on the surface using CT scans taken after implantation and intra-operative photographs at the time of grid placement and resection44 (link). For representation in a common coordinate space, the SDEs were displayed in the MNI-N27 surface using a 12-parameter affine transformation.
10
Pre-implantation MRI Anatomical Imaging
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Pre-implantation anatomical MRI scans were collected using a 3T whole-body MR scanner (Philips Medical Systems, Bothell WA) equipped with a 16-channel SENSE head coil. Anatomical images were collected using magnetization-prepared 180-degree radio-frequency pulses and rapid gradient-echo (MP-RAGE) sequence, optimized for gray-white matter contrast, with 1 mm thick sagittal slices and an in-plane resolution of 0.938 x 0.938 mm [80 (link)]. Cortical surface models (Fig 1b ) were reconstructed using FreeSurfer software (v5.1) [81 (link)], and imported to SUMA for visualization [73 (link)].
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!