Advanced Techniques in Body Magnetic Resonance Imaging 2.0
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 31552
Special Issue Editors
Interests: magnetic resonance imaging (MRI); deep learning algorithms; image analysis techniques; early diagnosis; treatment guidance; therapeutic response assessment; oncology; cardiology; biologic markers
Special Issues, Collections and Topics in MDPI journals
Interests: diffusion and perfusion magnetic resonance imaging; abdominal cancers; data standardization and quantification
Special Issues, Collections and Topics in MDPI journals
Interests: development of machine kearning and deep learning-based algorithms for medical image analysis; characterization of myocardial fibrosis tissue; automated detection and evaluation of abdominal cancers
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent years have seen rapid growth in the interest in advanced MRI techniques of the body. Body MRI is promising in this respect due to its non-invasive nature and potential for early detection of abnormal tissue changes. Since morphological changes in body disease tend to be subtle, the ultimate utility of body MRI will depend on the ability to derive reliable quantitative MRI biomarkers. In addition, the mining of MRI images to derive quantitative signatures based on large feature sets (radiomics) as a distinct approach is primarily a research endeavor in recent years. Our aim with this Special Issue is to recognize the scientific underpinnings behind methods utilized in deep learning, radiomics, perfusion MRI, diffusion MRI, and image reconstruction as applied to body imaging applications, including breast, liver, prostate, pelvic, and interventional MRI. This Special Issue is also dedicated to describing applications of the advanced MRI techniques to fundamental anatomic, physiologic, and pathophysiologic studies involving animals and humans. We invite submissions of original research in any area of renal MRI biomarker research, including:
- Machine learning and deep learning
- Radiomics
- Perfusion and diffusion imaging
- Fast MRI techniques
- MRI-guided therapy
Dr. Kyung Sung
Dr. Harrison Kim
Dr. Fatemeh Zabihollahy
Guest Editors
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
- Body Magnetic Resonance Imaging
- Artificial Intelligence
- Deep Learning and Machine Learning
- Imaging Reconstruction
- Image Segmentation
- Image Analysis and Modeling
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