Advancements in Photoacoustic Imaging

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: 31 May 2024 | Viewed by 101

Special Issue Editors


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Guest Editor
1. Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, CH-8057 Zurich, Switzerland
2. Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, CH-8093 Zurich, Switzerland
Interests: photoacoustic/optoacoustic imaging; biomedical optical imaging; ultrasound imaging; deep learning; image reconstruction

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Guest Editor
Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
Interests: photoacoustic imaging; deep learning; ultrasound imaging; biomedical imaging; image reconstruction

Special Issue Information

Dear Colleagues,

Photoacoustic imaging (also known as optoacoustic imaging), a hybrid combination between optical imaging and ultrasound, has matured into a powerful biomedical imaging modality over the past two decades. It benefits from rich spectroscopic optical contrast, scalable deep penetration into living mammalian tissues in the near-infrared spectral window, and excellent spatial resolution. The morphological, functional, and molecular imaging potential of this hybrid imaging technology has been demonstrated in a myriad of preclinical and clinical applications.  

This Special Issue focuses on the latest advancements in photoacoustic imaging technology delving into the emerging trends in design, technologies, and methodologies. The scope of this Issue is wide-reaching, encompassing both fundamental and applied research. It covers a broad spectrum of topics including, but not limited to, the following:

  • Light sources, optical delivery technologies and other sources such as X-ray, microwave, RF wave, etc.;
  • Instrumentation;
  • Image reconstruction;
  • Machine learning and deep learning methods;
  • Ultrasound sensors;
  • Functional and molecular imaging;
  • Laser ultrasound imaging;
  • Multi-modal imaging;
  • Spectroscopy;
  • Preclinical and clinical applications;
  • Multimodal imaging;
  • Wearable sources and sensors;
  • Contrast agents;
  • Tissue-mimicking phantoms.

From theoretical breakthroughs to practical applications, we invite contributions that enhance our understanding of photoacoustic imaging technological advancements. Researchers, academicians, and industry professionals are encouraged to submit original research articles, reviews, and case studies.

Dr. Sandeep Kumar Kalva
Dr. Praveenbalaji Rajendran
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

  • photoacoustic tomography
  • photoacoustic microscopy
  • ultrasound
  • laser ultrasound
  • machine learning
  • deep learning
  • image reconstruction
  • spectroscopy
  • sensing

Published Papers

This special issue is now open for submission.
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