Advances in Photoacoustic Imaging: Tomography and Applications
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Medical Imaging".
Deadline for manuscript submissions: closed (30 November 2025) | Viewed by 1797
Special Issue Editor
Special Issue Information
Dear Colleagues,
Photoacoustic tomography imaging, as a coupled physics imaging modality, utilizes the spatial variation of photon absorption within biological tissues to imaging. In practice, a variety of methods have emerged, including analytical formulations, especially backprojection formulations, as well as computational model-based techniques such as time inversion and iterative methods. However, the incompleteness of measurement data and the reliance on approximations for forward operators and acoustic models make these conventional methods only approximate solutions in practical cases. To ameliorate these problems, one strategy is to introduce additional a priori information to enhance the reconstruction process. One downside of this is that it can be computationally intensive and time-consuming, limiting its practical application. Therefore, there is an urgent need for a new method for photoacoustic tomography image reconstruction that aims to mitigate the effects of incomplete a while reducing the interference with the image. In this context, deep learning frameworks and data-driven methods show great potential but also face challenges, such as accuracy and robustness guarantees. In recent years, deep learning has been developing rapidly in photoacoustic tomography, with high-performance generative models (e.g., GANs, diffusion models) excelling in photoacoustic tomography image reconstruction. This Special Issue will focus on the application of deep learning in photoacoustic tomography and discuss the improvement of deep learning methods’ accuracy in reconstruction. Deep learning has great application prospects in photoacoustic tomography imaging and is well worth further research.
Dr. Xianlin Song
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 250 words) can be sent to the Editorial Office for assessment.
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
- photoacoustic tomography
- physics imaging modality
- a priori information
- accuracy and robustness
- deep learning
- generative models
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
