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Magnetic Resonance Insights

Synopsis: An open access, peer reviewed electronic journal that covers development and use of magnetic resonance.


Indexing: Indexed by DOAJ.  Pubmed indexing for NIH-funded research.

Processing time: Decision in 2 weeks for 90% of papers.

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About this journal

Magnetic Resonance Insights

ISSN: 1178-623X

Aims and scope:

Magnetic Resonance Insights is an international, open access peer reviewed journal which covers all aspects of the development and use of magnetic resonance. This includes all levels of basic and applied research, as well as all aspects of clinical research and applications in biology. As an open access journal, it provides a means for researchers and clinicians in the many different fields involved in magnetic resonance to communicate their ideas quickly and without barriers. Work on related experimental techniques, equipment, theory, results, procedures and methods is also welcome.

Editorial standards and procedures:

Submissions, excluding editorials, letters to the editor and dedications, will be peer reviewed by two reviewers.  Reviewers are required to provide fair, balanced and constructive reports.  

Under our Fairness in Peer Review Policy authors may appeal against reviewers' recommendations which are ill-founded, unobjective or unfair.  Appeals are considered by the Editor in Chief or Associate Editor.

Papers are not sent to peer reviewers following submission of a revised manuscript. Editorial decisions on re-submitted papers are based on the author's response to the initial peer review report.

Indexing:

This journal is indexed by:

  • DOAJ

National Institutes of Health Public Access Policy compliant:

As of April 7 2008, the US NIH Public Access Policy requires that all peer reviewed articles resulting from research carried out with NIH funding be deposited in the Pubmed Central archive.

If you are an NIH employee or grantee Libertas Academica will ensure that you comply with the policy by depositing your paper at Pubmed Central on your behalf. 

 
 
 


Iterative Decomposition of Water and Fat with Echo Asymmetric and Least—Squares Estimation (IDEAL) (Reeder et al. 2005) Automated Spine Survey Iterative Scan Technique (ASSIST) (Weiss et al. 2006)

Authors: Kenneth L. Weiss, Dongmei Sun, Rebecca S. Cornelius and Jane L. Weiss
Publication Date: 25 Jul 2008
Magnetic Resonance Insights: 2008:1 3-8

Kenneth L. Weiss1, Dongmei Sun1,2, Rebecca S. Cornelius1 and Jane L. Weiss3

1University of Cincinnati, Department of Radiology, Cincinnati, Ohio, U.S.A. 2Beijing Jiaotong University, Institute of Information Science, Beijing, P.R. China. 3WestImage, Division of Research, Cincinnati, Ohio, U.S.A.

Abstract

Background and Purpose: Multi-parametric MRI of the entire spine is technologist-dependent, time consuming, and often limited by inhomogeneous fat suppression. We tested a technique to provide rapid automated total spine MRI screening with improved tissue contrast through optimized fat-water separation.

Methods: The entire spine was auto-imaged in two contiguous 35 cm field of view (FOV) sagittal stations, utilizing out-of-phase fast gradient echo (FGRE) and T1 and/or T2 weighted fast spin echo (FSE) IDEAL (Iterative Decomposition of Water and Fat with Echo Asymmetric and Least-squares Estimation) sequences. 18 subjects were studied, one twice at 3.0T (pre and post contrast) and one at both 1.5 T and 3.0T for a total of 20 spine examinations (8 at 1.5 T and 12 at 3.0T). Images were independently evaluated by two neuroradiologists and run through Automated Spine Survey Iterative Scan Technique (ASSIST) analysis software for automated vertebral numbering.

Results: In all 20 total spine studies, neuroradiologist and computer ASSIST labeling were concordant. In all cases, IDEAL provided uniform fat and water separation throughout the entire 70 cm FOV imaged. Two subjects demonstrated breast metastases and one had a large presumptive schwannoma. 14 subjects demonstrated degenerative disc disease with associated Modic Type I or II changes at one or more levels. FGRE ASSIST afforded subminute submillimeter in-plane resolution of the entire spine with high contrast between discs and vertebrae at both 1.5 and 3.0T. Marrow signal abnormalities could be particularly well characterized with IDEAL derived images and parametric maps.

Conclusion: IDEAL ASSIST is a promising MRI technique affording a rapid automated high resolution, high contrast survey of the entire spine with optimized tissue characterization.

Categories: Imaging


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