Using electromagnetic field calculations to understand the complexity of magnetic resonance imaging (MRI) at high magnetic field strength

2002 ◽  
Author(s):  
M.B. Smith ◽  
C. Collins ◽  
Qing Yang ◽  
Jinghua Wang ◽  
Wanzhan Liu
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Field ◽  
Electromagnetic Field ◽  
Magnetic Resonance ◽  
Field Strength ◽  
Magnetic Field Strength ◽  
High Magnetic Field ◽  
Resonance Imaging ◽  
High Magnetic Field Strength ◽  
Magnetic Resonance Imaging Mri

scholarly journals Magnetic resonance imaging at ultra-high magnetic field strength: An in vivo assessment of number, size and distribution of pelvic lymph nodes

PLoS ONE ◽  
2020 ◽  
Vol 15 (7) ◽  
pp. e0236884 ◽  
Author(s):  
Ansje S. Fortuin ◽  
Bart W. J. Philips ◽  
Marloes M. G. van der Leest ◽  
Mark E. Ladd ◽  
Stephan Orzada ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Field ◽  
Magnetic Resonance ◽  
Field Strength ◽  
Lymph Nodes ◽  
Magnetic Field Strength ◽  
Resonance Imaging ◽  
High Magnetic Field Strength ◽  
In Vivo Assessment

Magnetic resonance imaging: effects of magnetic field strength.

Radiology ◽  
1984 ◽  
Vol 151 (1) ◽  
pp. 127-133 ◽  
Author(s):  
L E Crooks ◽  
M Arakawa ◽  
J Hoenninger ◽  
B McCarten ◽  
J Watts ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Field ◽  
Magnetic Resonance ◽  
Field Strength ◽  
Magnetic Field Strength ◽  
Resonance Imaging

scholarly journals Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study

2021 ◽  
Vol 10 ◽  
Author(s):  
Samy Ammari ◽  
Stephanie Pitre-Champagnat ◽  
Laurent Dercle ◽  
Emilie Chouzenoux ◽  
Salma Moalla ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Field ◽  
Magnetic Resonance ◽  
Field Strength ◽  
Healthy Volunteers ◽  
Magnetic Field Strength ◽  
Texture Features ◽  
Imaging Biomarkers ◽  
Resonance Imaging ◽  
The Impact

BackgroundThe development and clinical adoption of quantitative imaging biomarkers (radiomics) has established the need for the identification of parameters altering radiomics reproducibility. The aim of this study was to assess the impact of magnetic field strength on magnetic resonance imaging (MRI) radiomics features in neuroradiology clinical practice.MethodsT1 3D SPGR sequence was acquired on two phantoms and 10 healthy volunteers with two clinical MR devices from the same manufacturer using two different magnetic fields (1.5 and 3T). Phantoms varied in terms of gadolinium concentrations and textural heterogeneity. 27 regions of interest were segmented (phantom: 21, volunteers: 6) using the LIFEX software. 34 features were analyzed.ResultsIn the phantom dataset, 10 (67%) out of 15 radiomics features were significantly different when measured at 1.5T or 3T (student’s t-test, p < 0.05). Gray levels resampling, and pixel size also influence part of texture features. These findings were validated in healthy volunteers.ConclusionsAccording to daily used protocols for clinical examinations, radiomic features extracted on 1.5T should not be used interchangeably with 3T when evaluating texture features. Such confounding factor should be adjusted when adapting the results of a study to a different platform, or when designing a multicentric trial.

Finger-Like Projections in Lobar Haemorrhage on Early Magnetic Resonance Imaging Is Associated with Probable Cerebral Amyloid Angiopathy

2019 ◽  
Vol 47 (3-4) ◽  
pp. 121-126 ◽  
Author(s):  
Dimitri Renard ◽  
Teodora Parvu ◽  
Eric Thouvenot
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Field Strength ◽  
Subarachnoid Haemorrhage ◽  
Cerebral Amyloid Angiopathy ◽  
Amyloid Angiopathy ◽  
Resonance Imaging ◽  
Mri Scans ◽  
Cerebral Amyloid ◽  
Magnetic Resonance Imaging Mri

Background: Recently, finger-like projections (FLP) and subarachnoid haemorrhage extension (SAHE) of lobar intracerebral haemorrhage (LH) on acute CT together with ApoE4 genotype have been used in a prediction model for histopathologically proven cerebral amyloid angiopathy (CAA). Our aim was to analyse FLP and SAHE on acute/early subacute magnetic resonance imaging (MRI) and to assess the association with probable CAA diagnosis according to modified Boston criteria. Methods: We retrospectively studied MRI scans (and CT if available) performed <7 days in a cohort of consecutive acute LH patients >55 years. Results: Forty-six patients (24 men and 22 women; mean age 73; 28 probable and 18 possible CAA patients) were analysed. Mean symptom onset-MRI delay was 1.3 days (including 26 patients with MRI <24 h). Both probable and possible CAA groups were comparable regarding age, sex, time MRI and CT performance, MRI field strength, and LH volume. On MRI, both FLP and SAHE were observed more frequently in probable than in possible CAA (FLP 43 vs. 6%, p = 0.0073; SAHE 79 vs. 44%, p = 0.027), and associated with larger LH volumes (FLP, p = 0.011; SAHE, p = 0.047). FLP was associated with earlier performed MRI (mean 0.3 vs. 1.75 days, p = 0.025). In the subgroup of 35 patients with available CT (performed a mean of 2.2 days before or after MRI), FLP presence on CT was observed more frequently in probable than in possible CAA (57 vs. 7%, p = 0.0039). Concordance of MRI and CT for FLP presence/absence was 89%. Conclusions: In acute LH patients, FLP and SAHE on acute/early subacute phase MRI are associated with probable CAA diagnosis. Larger LH volumes are associated with FLP and SAHE on MRI, and early performed MRI with FLP.

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