Ingenia 3.0 tesla

Manufactured by Philips

The Ingenia 3.0 Tesla is a magnetic resonance imaging (MRI) system manufactured by Philips. It operates at a magnetic field strength of 3.0 Tesla, enabling high-quality imaging and detailed visualization of anatomical structures. The core function of the Ingenia 3.0 Tesla is to acquire and process MRI data for diagnostic and research purposes.

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Ingenia (1128 citations) Ingenia 3.0 (13 citations) Ingenia 3.0 Tesla scanner (4 citations) 3.0 Tesla (3 citations) Ingenia 3.0 Tesla MR scanner (3 citations) Ingenia 3.0 Tesla CX (2 citations)

3 protocols using ingenia 3.0 tesla

Multimodal MRI of Brain Tumors

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From January 2021 to February 2022, one hundred brain tumour patients who underwent Philips Ingenia 3.0 Tesla (T) MR imaging (MRI) scans were collected in our centre. Inclusion criteria were as follows (1 (link)): complete clinical data, no history of trauma and radiotherapy and chemotherapy (2 (link)); complete routine imaging before surgery, including T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), enhanced scan, diffusion-weighted imaging (DWI) and APT, with satisfactory image quality diagnosis requirements; and (3 (link)) patients with postoperative pathological diagnosis of meningioma or glioma after surgical treatment.
Finally, 50 patients (25 males and 25 females) were included, including 25 patients with meningioma (12 males and 13 females) and 25 patients with gliomas (13 males and 12 females), aged 16-71 (48 ± 13) years old. This retrospective study was approved by the regional ethics committee and exempted from informed consent.

Zhang H.W., Liu X.L., Zhang H.B., Li Y.Q., Wang Y.L., Feng Y.N., Deng K., Lei Y., Huang B, & Lin F. (2022). Differentiation of Meningiomas and Gliomas by Amide Proton Transfer Imaging: A Preliminary Study of Brain Tumour Infiltration. Frontiers in Oncology, 12, 886968.

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Pediatric MRI Acquisition Protocol

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MRI scans were acquired with a standard whole-head coil on a Philips Ingenia 3.0 Tesla MR system. To prevent head motion, foam inserts surrounded the children‘s’ heads (54 (link)). The SNAT was projected on a screen that was viewed through a mirror on the head coil. Functional scans were collected during three runs T2*-weighted echo planar images (EPIs). The first two volumes were discarded to allow for equilibration of T1 saturation effect. Volumes covered the whole brain with a field of view (FOV) = 220 (anterior–posterior [ap]) × 220 (right–left [rl]) × 111.65 (foot–head [fh]) mm; repetition time (TR) of 2.2 s; echo time (TE) = 30 ms; flip angle (FA) = 80°; sequential acquisition, 37 slices; and voxel size = 2.75 × 2.75 × 2.75 mm. Subsequently, a high-resolution three-dimensional (3D) T1 scan was obtained as anatomical reference (FOV= 224 [ap] × 177 [rl] × 168 [fh]; TR = 9.72 ms; TE = 4.95 ms; FA = 8°; 140 slices; voxel size = 0.875 × 0.875 × 0.875 mm]).

Achterberg M., van Duijvenvoorde A.C., van IJzendoorn M.H., Bakermans-Kranenburg M.J, & Crone E.A. (2020). Longitudinal changes in DLPFC activation during childhood are related to decreased aggression following social rejection. Proceedings of the National Academy of Sciences of the United States of America, 117(15), 8602-8610.

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High-field MRI Brain Imaging Protocol

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Brain images were acquired on a high‐field MRI scanner (Philips Ingenia 3.0 Tesla) using a fast‐field echo T1‐weighted sequence (repetition time = 8.2 ms, echo time = 3.8 ms, flip angle = 8°, resolution = 256 × 256, slices = 200, thickness = 1 mm). Brain images were inspected visually by an experienced neuroradiologist, and seven patients were excluded from the analysis due to poor image quality and/or excessive motion‐related artifacts. Image quality was assessed by considering the Image Quality Rate (IQR) and grading provided by Computational Anatomy Toolbox (CAT12). Detailed image quality metrics and gradings for each subject are reported in the supplementary materials (Table S1). Voxel‐based morphometry and surface‐based morphometry analyses were performed using CAT12 version 12.8.
³⁰ Cortical thickness was estimated using a projection‐based thickness method.
³¹ (link) To assess cortical complexity, we calculated the fractal dimension (FD) using a spherical harmonic reconstruction method.
³² (link) FD captures the structural complexity of the cortex by assessing its self‐similarity (i.e., morphological detail of a structure that remains consistent across different spatial scales) and has proven to be sensitive in characterizing brain changes associated with FTD.
³³ (link)

Filardi M., Gnoni V., Tamburrino L., Nigro S., Urso D., Vilella D., Tafuri B., Giugno A., De Blasi R., Zoccolella S, & Logroscino G. (2024). Sleep and circadian rhythm disruptions in behavioral variant frontotemporal dementia. Alzheimer's & Dementia, 20(3), 1966-1977.

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