international journal of clinical & medical images, clinical journals, medical journals, omics international, international journals, open access publication, scientific journals, free online medical journals, peer reviewed online journals, research, free online scientific articles

International Journal of Clinical & Medical Images


Clinical-Medical Image - International Journal of Clinical & Medical Images (2022) Volume 9, Issue 10

Neuroimaging by Magnetic Resonance

Neuroimaging by Magnetic Resonance

Author(s): Davis Poe*

Department of Radiology, Kansas City University, Kansas City, USA

*Corresponding Author:
Davis Poe
Department of Radiology
Kansas City University
Kansas City, USA
Tel: +9139578209

Date of Submission: 03 October 2022, Manuscript No. ijcmi-23-88665; Editor assigned: 05 October 2022, Pre QC No. P-88665; Reviewed: 18 October 2022, QC No. Q-88665; Revised: 21 October 2022, Manuscript No. R-88665; Published: 28 October 2022, DOI: 10.4172/2376-0249.1000853

Citation: Poe D. (2022) Neuroimaging by Magnetic Resonance. Int J Clin Med Imaging 9:853.

Copyright: © 2022 Poe D. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Clinical-Medical Image

Magnetic resonance imaging analysis was conducted on all subjects. It was performed using a 1.5 Tesla scanner (Magnetom Aera; Siemens Healthcare GmbH, 91052 Erlangen, Germany) with the 16-channel acquisition coil. The patients were placed in the supine position, and the head was safely placed in the head coil for fixation to avoid motion artifacts.

The standardized protocol included the following sequences: three-dimensional flash T1, 3D fluid-attenuation inversion recovery (FLAIR), coronal T2-weighted, diffusion-weighted image (DWI), and susceptibility-weighted image (SWI). The DWI protocol was performed using the following parameters: a repetition time of 4000 ms; an echo time of 86 ms; and a slice thickness of 5 mm. Automatically generated apparent diffusion coefficient (ADC) maps were subsequently reviewed.

Two board-certified neuroradiologists blinded to patient characteristics, electrical cardio version procedures, or laboratory findings evaluated the MRI scans. According to the adaptation of the standards for reporting vascular changes on neuroimaging, we analyzed the following brain lesions on the 3D FLAIR sequence: small noncortical infarcts (SNCIs), large noncortical infarcts (LNCIs), cortical infarcts, hyperintense white matter lesions (WMLs), and microbleeds (MBs). SNCIs included lesions that were hyperintense on FLAIR sequence without involving the cortex because of their location in the territory of the perforating arteriole. LNCIs were defined as infarcts larger than 20 mm and sparing the cortex. Cortical infarcts include lesions involving the cortex. Large noncortical and cortical infarcts were analyzed as one group (LNCCIs). The WMLs are those lesions that do not meet the previously mentioned criteria for infarctions and are graded according to the Fazekas scale. MBs were defined by susceptibility-weighted imaging as punctate or nodular hyper intensities on phase images. Acute ischemic lesions were identified as DWI hyper intensities with the corresponding hypo intensities on ADC maps. All study subjects underwent baseline magnetic resonance imaging, while the AF patients underwent additional magnetic resonance imaging (6 weeks after the electrical cardioversion) [1-3].


Neuroimaging; Magnetic resonance; MRI


[1] Lip GY, Nieuwlaat R, Pisters R, Lane D A. (2010) Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: The euro heart survey on atrial fibrillation. Chest 137: 263-272.

Google Scholar, Crossref, Indexed at

[2] Chugh SS, Havmoeller R, Narayanan K, Singh D. (2014) Worldwide epidemiology of atrial fibrillation: A global burden of disease 2010 study. Circulation 129: 837-847.

Google Scholar, Crossref, Indexed at

[3] Conen D, Rodondi N, Muller A, Beer JH. (2019) Relationships of overt and silent brain lesions with cognitive function in patients with atrial fibrillation. J Am Coll Cardiol 73: 989-999.

Google Scholar, Crossref

flyer Image Awards Nomination
Indexing and Archiving
A generic square placeholder image with rounded corners in a figure.
All published articles are assigned to Digital Object Identifier (DOI)- CrossRef.
A generic square placeholder image with rounded corners in a figure.
All published articles of this journal are included in the indexing and abstracting coverage of:
Google Scholar citation report
Citations : 226

International Journal of Clinical & Medical Images received 226 citations as per Google Scholar report