Emerging Technologies for Less Invasive Diagnostic Imaging
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Medical Imaging".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 34
Special Issue Editors
Interests: advanced medical image analysis; artificial intelligence for denoising; segmentation and classification in medical imaging; computer-aided diagnosis solutions
Interests: artificial intelligence and machine learning in medical imaging; advanced image processing techniques; radiomics feature extraction; texture analysis; development of imaging biomarkers for precision medicine
Interests: lab-on-fiber technology; optical fiber sensors; optical biosensors; medical devices; metamaterials; plasmonics; smart materials
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Special Issue Information
Dear Colleagues,
Medical imaging is a cornerstone of modern diagnosis, yet many techniques remain invasive to patients. In recent years, several innovative approaches have emerged, ranging from hardware development to advanced image analysis, with the potential to transform the diagnostic imaging landscape by reducing invasiveness while improving image quality, speed, and diagnostic accuracy.
This Special Issue is dedicated to exploring how new technologies and processing techniques, including artificial intelligence (AI), can help make diagnostic imaging less invasive and more patient centered. Among these, optical imaging stands out as a promising non-invasive modality that, when integrated with AI-based methods, can be enhanced with diagnostic capabilities traditionally limited to more invasive procedures, such as tissue characterization and functional assessment.
We welcome original research articles, comprehensive reviews, and technical notes that explore how modern technologies and advanced processing methods can support the development of safer, faster, and more accurate diagnostic pathways.
Topics of interest include, but are not limited to the following:
- AI-based reconstruction techniques to reduce or eliminate the need for contrast agents and ionizing radiation.
- AI-enhanced optical imaging approaches to extract diagnostic features from superficial and subsurface tissue structures.
- Image enhancement, denoising, and super-resolution techniques for improved image quality and reduced acquisition times.
- Virtual biopsies, decision support, and computational modeling as alternatives to invasive sampling and follow-up procedures.
- Integration of multimodal data and AI for predictive modeling and personalized diagnostic strategies.
- Innovative optoelectronic technologies for diagnostics to complement diagnostic imaging.
- Molecular imaging and advanced spectroscopic techniques for in vivo detection and quantification of disease-specific biomarkers, enabling early and precise diagnosis.
- Raman spectroscopy and other marker-free approaches combined with AI for non-invasive characterization of tissues.
- Advanced optical microscopy methods, such as confocal, multiphoton, and light sheet microscopy.
By bringing together diverse perspectives and pioneering studies, this Special Issue aims to foster a multidisciplinary dialog that encourages the integration of artificial intelligence and emerging technologies to achieve less invasive and high-precision diagnostic imaging.
Dr. Francesca Angelone
Dr. Noemi Pisani
Dr. Armando Ricciardi
Guest Editors
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. Journal of Imaging 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 1800 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
- non-invasive diagnostics
- less invasive imaging
- patient-centered imaging
- tissue characterization
- functional assessment
- biomarker quantification
- real-time intraoperative guidance
- early diagnosis
- personalized diagnostics
- safer and faster diagnostic pathways
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