Modern Medical Imaging in Disease Diagnosis Applications

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 55

Special Issue Editors


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Guest Editor
Centre for Medical Sciences-CISMed, University of Trento, 38122 Trento, Italy
Interests: radiology; neuroradiology; contrast media; management in radiology

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Guest Editor
Radiology, Multizonal Unit of Rovereto and Arco, APSS Provincia Autonoma Di Trento, 38123 Trento, Italy
Interests: radiology; diagnostic imaging; contrast media; guidelines in radiology

Special Issue Information

Dear Colleagues,

Radiology has emerged as one of the most dynamic and rapidly evolving medical fields in recent years. Thanks to improvements in both hardware and software, techniques such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound allow for non-invasive and highly precise exploration of nearly all anatomical regions, becoming fundamental in the diagnostic and therapeutic pathways of most pathologies. This Special Issue on “Modern Medical Imaging in Disease Diagnosis Applications”, therefore, will focus on original research papers and comprehensive reviews that explore the integration of engineering principles with medical imaging to advance disease diagnosis and patient care. Topics of interest for this Special Issue include, but are not limited to, the following:

  • High-resolution imaging: advanced MRI and CT techniques that provide unprecedented detail of anatomical structures, pathological and physiological processes, enabling earlier and more accurate diagnosis.
  • Contrast media: recent advancements in the development and application of contrast agents, such as the introduction of high-relaxivity agents that have opened up numerous improvements in magnetic resonance imaging diagnostics.
  • Artificial intelligence (AI) in imaging: exploring the role of AI algorithms in image analysis, including large language models, for the automated detection of abnormalities, improved diagnostic accuracy of radiologists, and personalized treatment planning.
  • Radiomics: Exploring the role of high-dimensional quantitative features extracted from medical images to uncover patterns beyond visual interpretation.

This Special Issue seeks to showcase the interplay between engineering innovation and medical imaging, offering insights into how emerging technologies can redefine diagnostic pathways and improve patient outcomes. We welcome contributions from researchers, engineers, and healthcare professionals working at the forefront of this interdisciplinary field.

Prof. Dr. Carlo Cosimo Quattrocchi
Dr. Marco Parillo
Guest Editors

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Keywords

  • radiology
  • diagnostic imaging
  • contrast media
  • computed tomography
  • magnetic resonance imaging
  • ultrasound
  • artificial intelligence in medical imaging
  • radiomics

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Published Papers (1 paper)

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19 pages, 3604 KiB  
Review
Susceptibility-Weighted Imaging (SWI): Technical Aspects and Applications in Brain MRI for Neurodegenerative Disorders
by Federica Vaccarino, Carlo Cosimo Quattrocchi and Marco Parillo
Bioengineering 2025, 12(5), 473; https://doi.org/10.3390/bioengineering12050473 (registering DOI) - 29 Apr 2025
Abstract
Susceptibility-weighted imaging (SWI) is a magnetic resonance imaging (MRI) sequence sensitive to substances that alter the local magnetic field, such as calcium and iron, allowing phase information to distinguish between them. SWI is a 3D gradient–echo sequence with high spatial resolution that leverages [...] Read more.
Susceptibility-weighted imaging (SWI) is a magnetic resonance imaging (MRI) sequence sensitive to substances that alter the local magnetic field, such as calcium and iron, allowing phase information to distinguish between them. SWI is a 3D gradient–echo sequence with high spatial resolution that leverages both phase and magnitude effects. The interaction of paramagnetic (such as hemosiderin and deoxyhemoglobin), diamagnetic (including calcifications and minerals), and ferromagnetic substances with the local magnetic field distorts it, leading to signal changes. Neurodegenerative diseases are typically characterized by the progressive loss of neurons and their supporting cells within the neurovascular unit. This cellular decline is associated with a corresponding deterioration of both cognitive and motor abilities. Many neurodegenerative disorders are associated with increased iron accumulation or microhemorrhages in various brain regions, making SWI a valuable diagnostic tool in clinical practice. Suggestive SWI findings are known in Parkinson’s disease, Lewy body dementia, atypical parkinsonian syndromes, multiple sclerosis, cerebral amyloid angiopathy, amyotrophic lateral sclerosis, hereditary ataxias, Huntington’s disease, neurodegeneration with brain iron accumulation, and chronic traumatic encephalopathy. This review will assist radiologists in understanding the technical framework of SWI sequences for a correct interpretation of currently established MRI findings and for its potential future clinical applications. Full article
(This article belongs to the Special Issue Modern Medical Imaging in Disease Diagnosis Applications)
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