Photoacoustic Effects for Biomedical Imaging and Diagnostics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".
Deadline for manuscript submissions: closed (12 October 2021) | Viewed by 355
Special Issue Editors
Interests: biomedical instrumentation and sensors; optical imaging systems; fiber optics
Special Issues, Collections and Topics in MDPI journals
Interests: optical imaging and sensing systems; signal and image processing; machine learning and deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical sensors and instrumentations; image processing and signal processing; non-invasive medical test
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We cordially invite you to submit your original research and review papers for publication in this Special Issue. The photoacoustic effect, also known as the optoacoustic effect, refers to the generation of acoustic waves when a material absorbs pulsed or modulated light. Detection of acoustic waves enables the determination of the optical properties of the material with resolutions that surpass the limit imposed by light scattering. Since its first discovery by Alexander Graham Bell in 1880, this effect has seen widespread application, thanks to the development of high-intensity light radiations and sensitive ultrasound detectors. The scope of this Special Issue is on research and clinical work demonstrating the application of the photoacoustic effect for biomedical imaging and diagnostics. The areas of interest include but are not limited to:
- Photoacoustic imaging techniques including tomography, microscopy, and nanoscopy;
- Photoacoustic instrumentation design and software development;
- Photoacoustic imaging co-registration with other modalities, such as optical coherence tomography (OCT), ultrasound, and MRI;
- Photoacoustic guided surgery;
- Photoacoustic image reconstruction algorithms;
- Photoacoustic signal and image processing;
- Application of machine and deep learning in photoacoustic imaging;
- Contrast agents and nanoparticles for enhanced imaging;
- Multispectral/spectroscopic photoacoustic imaging;
- Biological tissue characterization using the photoacoustic effect;
- Novel light sources for photoacoustic applications;
- Novel photoacoustic detectors and receivers.
Dr. Patrick D. Kumavor
Dr. Hassan S. Salehi
Dr. Chen Xu
Guest Editors
Manuscript Submission Information
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Keywords
- Photoacoustic imaging
- Ultrasound detection
- Contrast agents
- Laser light
- Signal and image processing
- Deep learning
- Image co-registration
- Diagnostic imaging
- Biological tissues
- Tumors