Brain Magnetic Resonance Imaging
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 5377
Special Issue Editor
Interests: neuropsychology; neuroimaging; neuromodulation; focused ultrasound; neurodegeneration; psychiatric illness; neuromedical illness; machine learning
Special Issue Information
Dear Colleagues,
Within the frame of the Diagnostics journal, MRI that focuses on the diagnosis and prognosis of neuromedical and psychiatric illness is an important clinical device with a growing toolset of acquisition modalities and analytic availabilities. Many of the MRI tools which were previously relegated to the research domain (e.g., volumetric statistical analysis, machine learning recovery of missing data) have begun to migrate into clinical practice. This ongoing translation from bench to bedside offers an exciting and important opportunity to further the clinical diagnostic utility of one of the most advanced neuroimaging techniques currently available. We are pleased to invite you to submit your work to our Special Issue focusing on advances of magnetic resonance imaging for the diagnosis and prognosis of issues related to the brain.
The aim of this Special Issue is to present to the reader the state of the science for data collection, missing data recovery, analysis and clinical utility of MRI as a neurodiagnostic technique. High-quality original research and reviews are invited to be submitted. The aim is to have a collection of at least 10 articles, and the Special Issue may be printed in book form if this number is reached. This research topic brings together novel developments in the hardware and software, supporting advancements in brain MRI for the diagnosis and prognosis of neuromedical and psychiatric illness. Research areas may include (but are not limited to) the following:
- Advancements in brain MRI data acquisition and/or analysis;
- Application of statistical analyses to clinical utility of brain MRI;
- Application of machine learning and artificial intelligence techniques for the recovery of missing data;
- Application of machine learning and artificial intelligence techniques for the prediction of patient classification within specific disease groups and/or prognosis and/or response to treatment;
- Comparison of different MRI modalities and/or analyses for the diagnosis of different disease states.
We also welcome high-quality papers in relevant fields.
I look forward to receiving your contributions.
Dr. Taylor Kuhn
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- MRI
- brain
- neuroimaging
- plasticity
- diagnosis and prognosis
- functional imaging
- structural imaging
- diffusion imaging
- perfusion imaging
- machine learning/artificial intelligence
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