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
Interests: radiology; neuroradiology; contrast media; management in radiology
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
Manuscript Submission Information
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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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