Cutting-Edge Applications: Artificial Intelligence and Deep Learning Revolutionizing CT and MRI

A special issue of Tomography (ISSN 2379-139X). This special issue belongs to the section "Artificial Intelligence in Medical Imaging".

Deadline for manuscript submissions: 25 March 2025 | Viewed by 64

Special Issue Editor


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Guest Editor
Department of Radiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, 37042 Verona, Italy
Interests: MSK imaging; CT; DECT; MRI; shoulder; hip; adrenal; liver; pancreas; lung; infectious diseases; endometriosis
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Special Issue Information

Dear colleagues,

The increasing use of medical imaging for diagnostic purposes, coupled with advancements in rapid computing and computational algorithms, has led to the widespread adoption of deep learning (DL) and artificial intelligence (AI) algorithms. These algorithms are not only utilized for analyzing medical images but also for their processing. While recent studies have explored the potential of producing high-quality MRI reconstructed images using AI systems based on neural networks, other studies have examined the use and diagnostic accuracy of CT and MRI images across various imaging scenarios. Examples include MRI imaging in musculoskeletal, abdominal, and prostate imaging, the pediatric brain, and the female pelvis. Regarding CT, DL and AI have been proposed for the evaluation of the assessment of various issues, from identifying fractures to detailed examinations of plaques in the cardiovascular field.

For example, faster image acquisition may lead to considerable time savings while maintaining excellent quality. Moreover, this advancement often translates to improved lesion detection capabilities.

The aim of this Special Issue is to provide a comprehensive overview of DL and AI applications to CT and MRI in clinical practice.

Therefore, researchers in the field of DL and AI, working on CT or MRI applications, are encouraged to submit their findings as original articles or reviews.

Dr. Giovanni Foti
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. Tomography is an international peer-reviewed open access monthly 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 2400 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

  • deep learning
  • computed tomography
  • magnetic resonance imaging
  • artificial intelligence
  • imaging protocol
  • detection
  • characterization

Published Papers

This special issue is now open for submission.
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