Advanced Biomedical Imaging and Signal Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 22
Special Issue Editor
Interests: bio-optical imaging; biomedical image processing and analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biomedical imaging and signal processing stand at the forefront of medical innovation, providing unprecedented insights into human physiology and pathology. The continuous evolution of imaging technologies generates increasingly complex datasets, while sophisticated sensors capture a wide array of physiological signals. Effectively harnessing this wealth of information is crucial for enhancing diagnostic accuracy, tailoring personalized treatments, and improving patient monitoring. The true potential, however, lies in the synergistic application of advanced processing techniques to extract meaningful patterns from both images and signals.
This Special Issue, “Advanced Biomedical Imaging and Signal Processing”, aims to bring together leading research on cutting-edge methodologies that address the challenges and opportunities in acquiring, processing, analyzing, and interpreting complex biomedical data. We seek contributions that push the boundaries of current techniques, explore novel applications, and foster the integration of imaging and signal data for a more holistic understanding of health and disease.
We invite submissions of high-quality original research articles, comprehensive reviews, perspective pieces, and methodological papers. Topics of interest include, but are not limited to:
Novel Algorithms for Image Analysis:
- Advanced image reconstruction techniques for MRI, CT, PET, SPECT, ultrasound, optical imaging (e.g., OCT, microscopy), and X-ray.
- AI-driven image segmentation, registration, and feature extraction.
- Quantitative imaging biomarkers and radiomics/radio-genomics.
- Machine learning and deep learning approaches for image enhancement, classification, and interpretation.
Advanced Biomedical Signal Processing:
- Sophisticated processing techniques (e.g., deep learning, statistical signal processing, source separation, time-frequency analysis, and nonlinear dynamics) applied to physiological signals.
- Analysis of electrophysiological signals: EEG, MEG, ECG, EMG, and EOG.
- Analysis of cardiovascular signals: blood pressure waveforms, PPG, and heart sounds (PCG).
- Analysis of respiratory signals: airflow, respiratory effort, and SpO2.
- Analysis of neuromechanical signals: motion capture, force/pressure sensor data.
- Analysis of other physiological signals: GSR, body temperature, acoustic signals (e.g., lung sounds, cough sounds).
- Wearable sensor data processing and artifact removal.
- Real-time signal analysis for monitoring and feedback systems.
Integration and Multimodal Analysis:
- Techniques for fusing information from multiple imaging modalities (e.g., PET-MRI, CT-Ultrasound).
- Methods for integrating biomedical imaging data with physiological signals (e.g., combining fMRI with EEG, correlating imaging biomarkers with ECG features).
- Development of computational models informed by both imaging and signal data.
- AI and machine learning frameworks for multimodal data analysis in diagnostics, prognostics, and treatment response prediction.
Applications and Systems:
- Development of novel imaging systems or sensor technologies coupled with advanced processing.
- Application of advanced techniques in specific clinical areas (e.g., neurology, cardiology, oncology, ophthalmology).
- Point-of-care diagnostic systems leveraging imaging and signal processing.
- Computational tools and platforms for biomedical image and signal analysis.
We look forward to receiving your valuable contributions showcasing the latest advancements at the intersection of biomedical imaging and signal processing.
Dr. Xiaojun Yu
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. Sensors 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
- bio-optical imaging
- biomedical image denoising
- biomedical signal processing
- computer-aided disease diagnosis
- biomedical image segmentation techniques
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