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Diagnostics
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Whole Body MRI: Major Advances and Future Perspective-Volume 2
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Whole Body MRI: Major Advances and Future Perspective-Volume 2

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 4220

Special Issue Editor

Dr. Alessandro Stecco

E-Mail Website
Guest Editor
Ospedale Maggiore della Carità di Novara, Istituto di Radiodiagnostica ed Interventistica, Università del Piemonte Orientale, Amedeo Avogadro, Corso Giuseppe Mazzini 18, 28100 Novara, Italy
Interests: magnetic resonance imaging; whole-body MRI; diffusion weighted imaging; lymphoma; myeloma; oncologic imaging, respons to therapy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

“Whole-Body MRI: Major Advances and Future Perspective—Volume 2” is a Special Issue in the Section Medical Imaging and Theranostics in Diagnostics that will highlight the state of the art in this MRI technique that has become increasingly important in the last 15 years.

The combination of technical improvements in MRI hardware, technique of image acquisition, reconstruction algorithms and software, as well as the introduction of diffusion-weighted imaging (DWI) and other derived pulse sequences, in addition to conventional MRI pulses, also in for whole-body imaging, have promoted advancements with a direct rebound in the clinical setting.

The focus of this Special Issue will be on techniques and clinical applications of whole-body MRI, including DWI, for lymphoma, myeloma, oncologic staging, and metastases assessment, also in the post-treatment setting.

This Special Issue will also emphasize future perspectives of this technique, with a look at emerging applications and methods.

Dr. Alessandro Stecco
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

  • magnetic resonance imaging
  • whole-body MRI
  • diffusion-weighted imaging
  • oncologic imaging
  • multiple myeloma
  • lymphoma

Related Special Issue

Published Papers (2 papers)

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Research

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12 pages, 2466 KiB  
Article
Automatic Kidney Segmentation Method Based on an Enhanced Generative Adversarial Network
by Tian Shan, Yuhan Ying and Guoli Song
Diagnostics 2023, 13(7), 1358; https://doi.org/10.3390/diagnostics13071358 - 06 Apr 2023
Cited by 2 | Viewed by 1139
Abstract
When deciding on a kidney tumor’s diagnosis and treatment, it is critical to take its morphometry into account. It is challenging to undertake a quantitative analysis of the association between kidney tumor morphology and clinical outcomes due to a paucity of data and [...] Read more.
When deciding on a kidney tumor’s diagnosis and treatment, it is critical to take its morphometry into account. It is challenging to undertake a quantitative analysis of the association between kidney tumor morphology and clinical outcomes due to a paucity of data and the need for the time-consuming manual measurement of imaging variables. To address this issue, an autonomous kidney segmentation technique, namely SegTGAN, is proposed in this paper, which is based on a conventional generative adversarial network model. Its core framework includes a discriminator network with multi-scale feature extraction and a fully convolutional generator network made up of densely linked blocks. For qualitative and quantitative comparisons with the SegTGAN technique, the widely used and related medical image segmentation networks U-Net, FCN, and SegAN are used. The experimental results show that the Dice similarity coefficient (DSC), volumetric overlap error (VOE), accuracy (ACC), and average surface distance (ASD) of SegTGAN on the Kits19 dataset reach 92.28%, 16.17%, 97.28%, and 0.61 mm, respectively. SegTGAN outscores all the other neural networks, which indicates that our proposed model has the potential to improve the accuracy of CT-based kidney segmentation. Full article
(This article belongs to the Special Issue Whole Body MRI: Major Advances and Future Perspective-Volume 2)
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Review

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24 pages, 1378 KiB  
Review
Challenges and Strategies to Optimising the Quality of Small Bowel Magnetic Resonance Imaging in Crohn’s Disease
by Anuj Bohra, Abhinav Vasudevan, Numan Kutaiba and Daniel R. Van Langenberg
Diagnostics 2022, 12(10), 2533; https://doi.org/10.3390/diagnostics12102533 - 19 Oct 2022
Cited by 4 | Viewed by 2684
Abstract
Magnetic resonance enterography (MRE) is one of the most highly utilised tools in the assessment of patients with small bowel Crohn’s disease (CD). As a non-invasive modality, it has both patient and procedure-related advantages over ileocolonoscopy which is the current gold standard for [...] Read more.
Magnetic resonance enterography (MRE) is one of the most highly utilised tools in the assessment of patients with small bowel Crohn’s disease (CD). As a non-invasive modality, it has both patient and procedure-related advantages over ileocolonoscopy which is the current gold standard for Crohn’s disease activity assessment. MRE relies upon high-quality images to ensure accurate disease activity assessment; however, few studies have explored the impact of image quality on the accuracy of small bowel CD activity assessment. Bowel distension and motion artifacts are two key imaging parameters that impact the quality of images obtained through MRE. Multiple strategies have been employed to both minimise the effects of motion artifacts and improve bowel distension. This review discusses the definitions of bowel distension and motion artifacts within the literature with a particular focus on current strategies to improve bowel distension and limit motion artifacts in MRE. Full article
(This article belongs to the Special Issue Whole Body MRI: Major Advances and Future Perspective-Volume 2)
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