Recent Progress in X-Ray Medical Imaging and Detectors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 1949
Special Issue Editors
Interests: medical physics; medical imaging; in silico modelling
Special Issue Information
Dear Colleagues,
On the wave of major technological innovations, X-ray medical imaging devices are undergoing an epochal revolution that promises a consistent impact on clinical practice. The introduction of innovative detectors aiming at reducing noise and costs, at improving spatial resolution, and at discriminating the energy of the X-ray photons is unveiling new perspectives and possibilities in the analysis of the produced images. At the same time, innovative sources are feeding new ideas, opening a brand-new class of applications that potentially mitigate limitations of conventional apparatuses. This is framed by the introduction of innovative software methodologies, such as AI and in silico medicine, which are revolutionizing the acquisition, processing, analysis, and reporting of medical imaging, and by the development of innovative X-ray sources that may shape the characteristics of the new apparatuses.
This Special Issue aims to bring together manuscripts on cutting-edge technologies and methodologies that are revolutionizing X-ray medical imaging. Topics of interest of this Special Issue include, but are not limited to, the following:
- Innovative detectors for X-ray medical imaging.
- Read-out methodologies for detectors in medical imaging.
- Innovative sources for X-ray medical imaging.
- In silico replication of X-ray detectors and radiological apparatuses.
- Dispersive or spectral techniques in multi-energy Computed Tomography.
- X-ray detector models.
- Spectral CT and Spectral radiography.
- AI applications in medical imaging acquisition, elaboration, and display.
- Quantitative radiology.
- Software methodology for analysis of radiological images.
- Innovative approaches and technology for dose reduction in radiology.
- Phantoms for image quality evaluations.
Dr. Antonio Sarno
Dr. Nikolay Tinkov Dukov
Guest Editors
Manuscript Submission Information
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Keywords
- X-ray medical detectors
- photon-counting detectors
- quantitative medical imaging
- innovative scanning geometries
- image processing
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