1.5 t mri

Manufactured by Siemens

Sourced in Germany

The 1.5 T MRI is a magnetic resonance imaging (MRI) system that generates a strong magnetic field of 1.5 Tesla (T) to capture detailed images of the body's internal structures. It is designed to provide high-quality diagnostic imaging for various medical applications.

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Lab products found in correlation

Impax 6, by AGFA HealthCare (1 mentions)

13 protocols using 1.5 t mri

Knee Cartilage MRI Protocol for Longitudinal Study

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In the MOST parent study, MR imaging was performed using a 1.0 T extremity-based OrthOne scanner (Oni MSK Extreme, GE Healthcare, Waukesha, WI). Images were acquired using a circumferential extremity coil using fat-suppressed, fast spin echo, proton density-weighted sequence in two planes, sagittal (TR=4800 ms, TE=35 ms, 3.0mm slice thickness, 0mm interslice gap, FOV 14×14cm, matrix 288×192, NEX2); and axial (TR=4700 ms, TE=13.2 ms, 3.0mm slice thickness, 0mm interslice gap, FOV 14cm, matrix 288×192, NEX2) and a short tau inversion recovery sequence (STIR) in the coronal plane (TR=7820 ms, TE=14 ms, TI=100 ms, 3.0mm slice thickness, 0mm interslice gap, FOV 14cm, matrix 256×256, NEX2).
Coronal T1-weighted fast low-angle shot (FLASH) MRI with water excitation (TR=17 or 18.6 ms, TE=4.2 – 9.3 ms, 1.5 mm slice thickness, 0 mm interslice gap, FOV 0.3125×0.3125 mm in-plane resolution) was obtained at baseline and 30-month follow-up using a 1.5 T MRI (Siemens, Erlangen, Germany) in the participants, who volunteered for the longitudinal substudy, in which MRI measurement of cartilage thickness and volume were performed.

Guermazi A., Eckstein F., Hayashi D., Roemer F.W., Wirth W., Yang T., Niu J., Sharma L., Nevitt M.C., Lewis C.E., Torner J, & Felson D.T. (2015). Baseline radiographic osteoarthritis and semi-quantitatively assessed meniscal damage and extrusion and cartilage damage on MRI is related to quantitatively defined cartilage thickness loss in knee osteoarthritis: The Multicenter Osteoarthritis Study. Osteoarthritis and cartilage / OARS, Osteoarthritis Research Society, 23(12), 2191-2198.

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Cardiac MRI Protocol for Ventricular Assessment

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cMRI was performed on a Siemens 1.5 T MRI (Siemens, Erlangen, Germany) using phased-array cardiac coil. The following images were reviewed in the cMRI study in all subjects: balanced steady-state free precession (bSSFP) 2D cine imaging was obtained on the short-axis (base to apex), and in the four-chamber, two-chamber, and left ventricular outflow tract views followed by 2D single shot bSSFP, and segmented gradient recalled echo (GRE) delayed late gadolinium enhanced imaging.

Priya S., Aggarwal T., Ward C., Bathla G., Jacob M., Gerke A., Hoffman E.A, & Nagpal P. (2021). Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison—Cardiac MRI Radiomics in Pulmonary Hypertension. Journal of Clinical Medicine, 10(9), 1921.

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Comprehensive Cardiac MRI Protocol

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Cardiac MRI was performed on a Siemens 1.5 T MRI (Siemens, Erlangen, Germany) scanner. The study protocol included: multiplane balanced stead state free precision cine images, late gadolinium enhanced images obtained between 10 and 15 min after administration of 0.15 mmol/kg body weight of Gadavist contrast, native and post contrast T1 mapping and precontrast T2 mapping at basal, mid and apical short-axis slices. Post contrast T1 mapping was done at 15–20 min after contrast administration. Cardiac cine imaging was performed with the following parameters: repetition time msec/echo time msec, 35.75/1.15; field of view, 330–380 mm; matrix size, 256 × 160 mm; voxel size, 1.5 × 1.5 × 8.0 mm; bandwidth, 930 Hz/pixel; flip angle, 63°; slice thickness, 8 mm; and gap, 2 mm.

Priya S., Narayanasamy S., Walling A, & Ashwath R.C. (2022). Subclinical cardiac involvement in student athletes after COVID-19 infection - Evaluation using feature tracking cardiac MRI strain analysis. Clinical Imaging, 95, 1-6.

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Pfirrmann Disk Degeneration Grading on MRI

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The degree of disk degeneration (L1–L2 to L5–S1) was examined on 1.5T MRI (Siemens, Erlangen, Germany) images using Pfirrmann disk degeneration classification.16 (link) Five grades were comprised on sagittal T2-weighted images, representing a progression from normal disk to severe disk degeneration. Grade I corresponded to no degeneration, whereas grade V represented most severe degeneration. Scoring was calculated for convenient assessment, to grade I a score of 5 score, whereas to grade V a score of 1given. Higher scores represented better disk conditions. The average value of the five scores was calculated.

Zhu W., Wang W., Kong C., Wang Y., Pan F, & Lu S. (2020). Lumbar Muscle Fat Content Has More Correlations with Living Quality than Sagittal Vertical Axis in Elderly Patients with Degenerative Lumbar Disorders. Clinical Interventions in Aging, 15, 1717-1726.

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Radiographic and MRI Evaluation of Rotator Cuff Arthropathy

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Pre-operative plain radiograph focused on three parameter measurements to evaluate rotator cuff arthropathy which include osteoarthritic change, acromiohumeral distance, and inferior glenohumeral distance. Further pre-operative MRI evaluation focused on mediolateral (ML) tear size, anteroposterior (AP) tear size, tendon retraction, fatty infiltration and muscle atrophy. Radiographic parameters were evaluated by one experienced orthopedist and one senior orthopedic resident. A 1.5-T MRI (Siemens Healthcare, Germany) was used in this study. All measurements were made on a PACS workstation using Agfa IMPAX 6 (Waterloo, Canada) software technology—this software uses data within the DICOM (NEMA, VA, USA) header on all MRI (whether from our institution or from outside institutions) to allow referenced measurements to be made.

Kuptniratsaikul V., Laohathaimongkol T., Umprai V., Yeekian C, & Prasathaporn N. (2019). Pre-operative factors correlated with arthroscopic reparability of large-to-massive rotator cuff tears. BMC Musculoskeletal Disorders, 20, 111.

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Multimodal MRI Examination Protocol

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The MRI examination uses the German Siemens 1.5T MRI for scanning, with a 6-channel magnetic resonance imaging coil. The scanning sequence includes the routine T1WI (TR/TE: 450/10), T2WI (TR/TE: 4150/96), FLAIR (TR/TE: 8000/84), DWI (3200/91), SWI (TR/TE: 49/40), and PWI (1500/30). The PWI scanning uses the contrast agent gadolinium acid amine (Gd-GTPA). It uses a high-pressure injector for bolus, with an injected dose of 0.2 mmol/Kg and an injection rate of 5 mL/s. The MRI image post-processing is carried out at the Syngo MR Workplace workstation.

Wang Y.R., Li Z.S., Huang W., Yang H.Q., Gao B, & Chen Y.T. (2021). The Value of Susceptibility-Weighted Imaging (SWI) in Evaluating the Ischemic Penumbra of Patients with Acute Cerebral Ischemic Stroke. Neuropsychiatric Disease and Treatment, 17, 1745-1750.

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FHS MRI Brain Volume Quantification

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The FHS MRI protocol has been previously described.¹² (link) Briefly, participants were imaged by a 1.5T MRI (Siemens Medical, Erlangen, Germany) and used a 3-dimensional T1-weighted coronal spoiled gradient-recalled echo sequence. All images were transferred to and processed by the University of California Davis Medical Center without knowledge of clinical information. Segmentation and quantification of total cerebral cranial volume (TCV), total brain volume, frontal lobe (FBV), parietal lobe (PBV), occipital lobe (OBV), temporal lobe (TBV), hippocampus, and lateral ventricle volumes were performed using semi-automated procedures previously described.12 (link), 13 (link), 14 (link) TCV was determined using a convolutional neural network method.¹⁵ Non-linear co-registration of images to the Desikan-Killiany-Tourville atlas¹⁶ (link) enabled calculation of regional gray matter volumes.¹⁷ (link)^,¹⁸ MRI volumes were corrected for head size by calculating the percentage of TCV. Each image set underwent rigorous quality control including assessments of the original acquisition and image processing quality.

Tao Q., Akhter-Khan S.C., Ang T.F., DeCarli C., Alosco M.L., Mez J., Killiany R., Devine S., Rokach A., Itchapurapu I.S., Zhang X., Lunetta K.L., Steffens D.C., Farrer L.A., Greve D.N., Au R, & Qiu W.Q. (2022). Different loneliness types, cognitive function, and brain structure in midlife: Findings from the Framingham Heart Study. eClinicalMedicine, 53, 101643.

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MRI-Based Brain Volumetric Analysis of FHS Cohort

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A subset of the FHS offspring participants (n = 2,231) underwent brain magnetic resonance imaging (MRI) scanning between 03/1999 and 12/2017 (Figure S1), as previously described^{12 (link)}. Briefly, participants were imaged using a 1.5 T MRI (Siemens Medical, Erlangen, Germany) with a 3-dimensional T1-weighted coronal spoiled gradient-recalled echo sequence. All images were transferred to and processed by the University of California Davis Medical Center without knowledge of the clinical information. Segmentation and quantification of the total cerebral cranial volume (TCV), total brain volume, frontal lobe (FBV), parietal lobe (PBV), occipital lobe (OBV), temporal lobe (TBV), hippocampal (HPV), and lateral ventricle volumes were performed using semiautomated procedures as previously described.^{35 (link)} TCV was determined using a convolutional neural network method.^{36 (link)} Nonlinear coregistration of images to the Desikan-Killiany-Tourville atlas enabled the calculation of regional gray matter volumes.^{14 (link)} MRI measures were corrected for head size by calculating the percent of these volumes relative to the TCV. The percentage of TCV was log-transformed for normality. Each image set underwent rigorous quality control, including assessments of the original acquisition and image processing quality.

Huang J., Stein T.D., Wang Y., Ang T.F., Tao Q., Lunetta K.L., Massaro J., Akhter-Khan S.C., Mez J., Au R., Farrer L.A., Zhang X, & Qiu W.Q. (2022). Blood Levels of MCP-1 Modulate the Genetic Risks of Alzheimer’s Disease Mediated by HLA-DRB1 and APOE. Alzheimer's & dementia : the journal of the Alzheimer's Association, 19(5), 1925-1937.

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MRI-Compatible Robotic Workflow

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In this section, we describe several aspects of our work: 1) the envisioned clinical workflow with the MRI compatible robot; 2) the MRI compatible robot that we developed; and 3) the setup for the experimental accuracy results using a Siemens 1.5T MRI and a long bone phantom.

Cleary K., Lim S., Jun C., Monfaredi R., Sharma K., Fricke S., Vargus L., Petrisor D, & Stoianovici D. (2017). Robotically Assisted Long Bone Biopsy under MRI Imaging: Workflow and Preclinical Study. Academic radiology, 25(1), 74-81.

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Cardiac MRI Texture Analysis Protocol

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CMRI was performed on a Siemens 1.5 T MRI (Siemens, Erlangen, Germany). Images were anonymized and were analyzed by two readers with more than five-year experience in cardiac imaging using a FDA approved freely available software “Segment” (version 3.0: http://segment.heiberg.se). The desired end-systolic mid-ventricular short axis^{31 (link)} image was selected from the bSSFP short axis cine series for further texture analysis, as performed in prior CMRI studies^{31 (link)}.

Priya S., Aggarwal T., Ward C., Bathla G., Jacob M., Gerke A., Hoffman E.A, & Nagpal P. (2021). Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models. Scientific Reports, 11, 12686.

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