Intera 1.5 t mri scanner

Manufactured by Philips

Sourced in Netherlands

The Intera 1.5-T MRI scanner is a magnetic resonance imaging (MRI) system manufactured by Philips. It utilizes a 1.5-Tesla superconducting magnet to generate high-quality diagnostic images of the human body. The scanner is designed to provide clinicians with detailed anatomical information to support various medical applications.

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5 protocols using intera 1.5 t mri scanner

Automated Hippocampal and Amygdalar Volume Quantification

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Two 3D T1-weighted magnetization-prepared rapid gradient echo (MP-RAGE) images (repetition time = 8.5 ms, echo time = 4 ms, flip angle = 8°, matrix dimensions 256 × 192, 184 contiguous sagittal 1.2-mm-thick slices, and time per acquisition = 5.4 min) were acquired on a whole-body Philips Intera 1.5-T MRI scanner (Philips, The Netherlands), and were averaged after motion correction.
Cerebral MRI data were preprocessed using Freesurfer v5.3 (http://surfer.nmr.mgh.harvard.edu/). Removal of non-brain tissues was manually performed on a slice-by-slice basis in each participant to increase the accuracy of segmentation. Volumetric measures (mm³) were obtained for left and right sides of the hippocampus and amygdala, two MTL regions that have shown reduced volume in aMCI patients that progressed to AD at 1-year follow-up29 (link).

Prieto del Val L., Cantero J.L, & Atienza M. (2016). Atrophy of amygdala and abnormal memory-related alpha oscillations over posterior cingulate predict conversion to Alzheimer’s disease. Scientific Reports, 6, 31859.

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Preoperative and Postoperative MRI T2 Mapping

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For all patients, MRI scans were acquired preoperatively and at 2 years postoperatively with use of the Intera 1.5T MRI scanner (Philips). A T2 mapping sequence was performed in addition to routine diagnostic imaging, which included T1-weighted oblique sagittal images and T2-weighted oblique coronal, oblique sagittal, and axial images. The T2 mapping was performed with use of the multi-spin-echo sequence on a sagittal image 15 mm medial to the Y-view to minimize measurement errors caused by the postoperative muscle shift^{8 (link),22 (link),23 (link)}. The scanning parameters are presented in Table I.

Matsuki K., Sugaya H., Takahashi N., Tokai M., Hoshika S, & Ueda Y. (2024). Fatty Degeneration of the Rotator Cuff Muscles Improves in Shoulders with Successful Arthroscopic Rotator Cuff Repair: A Prospective Study Using Quantitative T2 Mapping Techniques, with 2-Year Follow-up. JBJS Open Access, 9(1), e23.00083.

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Sputum Glucosamine Enhanced MRI Protocol

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Conventional T1WI, T2WI, T2 fat suppression and diffusion-weighted imaging (DWI) were performed using an Intera 1.5T MRI scanner (Philips Healthcare). Conventional MRI parameter settings: Layer thickness, 7.0 mm; pitch, 5.0 mm; matrix, 125×256; field of view, 35 cm. DWI parameters: repetition time (TR), 1,500 msec; echo time (TE), 51.6 msec; b-value, 0.800 sec/mm². Then, the sputum glucosamine (National Pharmacopoeia H10950272; Guangzhou Kangchen Pharmaceutical Co., Ltd.) was used as a contrast agent for enhanced scanning: Intravenous anterior venous high-pressure injection of 25 ml of contrast agent, 20 sec scan of the arterial phase after injection, 60 sec scan portal vein period with 5 min delay period of scanning.

Ji X., Zhou S., Yang P., Liu F., Li Y, & Li H. (2019). Value of ultrasound combined with MRI in the diagnosis of primary and recurrent hepatocellular carcinoma. Oncology Letters, 18(6), 6180-6186.

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Patterns of Brain Injury in Preterm Infants

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Brain magnetic resonance imaging (MRI) was performed within 30 postnatal days. The infants were scanned using a Philips Intera 1.5-T MRI scanner (Philips Medical Systems, Best, The Netherlands). Conventional and diffusion-weighted MRI sequences were obtained. Three experienced neuroradiologists (F.C., A.T., M.G.) scored the scans according to previously published criteria. Five patterns of injury were identified: moderate/severe damage in the basal ganglia and thalami associated with moderate/severe white matter (WM) changes and cortical injury (pattern 1); damage in the basal ganglia and thalami associated with mild WM changes with or without cortical injury (pattern 2); focal thalamic lesion with or without cortical injury (pattern 3); predominant WM damage (moderate/severe) with or without cortical injury with or without mild basal ganglia and thalami changes (pattern 4); mild WM abnormalities with or without mild cortical changes but with normal basal ganglia and thalami, or normal imaging (pattern 5) [23 (link)].

Lugli L., Guidotti I., Pugliese M., Roversi M.F., Bedetti L., Della Casa Muttini E., Cavalleri F., Todeschini A., Genovese M., Ori L., Amato M., Miselli F., Lucaccioni L., Bertoncelli N., Candia F., Maura T., Iughetti L., Ferrari F, & Berardi A. (2022). Polygraphic EEG Can Identify Asphyxiated Infants for Therapeutic Hypothermia and Predict Neurodevelopmental Outcomes. Children, 9(8), 1194.

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Aging Brain Structural Changes

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Data supporting this study will be available upon approval by the data management committee at the Aging Research Center, Karolinska Institutet. The reporting of this study conforms to the STROBE statement (for the STROBE checklist of this study).
Data were derived from the population-based SNAC-K (Swedish National Study on Aging and Care in Kungsholmen), which consists of a random sample of people aged ≥60 years in the Kungsholmen district of central Stockholm, Sweden. Participants were scanned on a Philips Intera 1.5T MRI Scanner (Eindhoven, the Netherlands) at baseline and follow-ups. Cerebral infarcts, lacunes, and perivascular spaces (PVS) were visually assessed by a trained neurologist (Y. Li). T1-weighted images were automatically segmented into gray matter, white matter, and cerebrospinal fluid, and all segmentations were visually inspected by a specialist (G. Kalpouzos). Total brain tissue volume was calculated by adding up gray matter and white matter volume. The lateral ventricles were automatically segmented, and their volumes were estimated using the ALVIN toolbox. 8 Global WMH were manually drawn on fluid-attenuated inversion recovery images, and their volumes were computed. We corrected all volumetric measurements using total intracranial volume.

Ding M., Wang R., Kalpouzos G., Laukka E.J., Li Y., Johnell K., Fratiglioni L, & Qiu C. (2021). Cerebral Small Vessel Disease Associated With Atrial Fibrillation Among Older Adults: A Population-Based Study. Stroke, 52(8).

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