sensors-logo

Journal Browser

Journal Browser

Optical Sensors in Multi-Modal Imaging

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 4966

Special Issue Editors


E-Mail
Guest Editor
School of Medicine, Johns Hopkins University, MD, USA
Interests: photoacoustic; ultrasound; neuroimaging; surgical guidance; functional/molecular imaging

E-Mail Website
Guest Editor
Department of Nuclear Medicine, Chonnam National University Medical School, Hwasun 58128, Korea
Interests: biomedical optical imaging; molecular imaging; quantitative analysis and signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Biophotonics have been evolving in clinical diagnostics and interventions to provide molecular contrast of target lesions at high spatial/temporal resolutions. Recently, there have been extensive efforts for synergetic integration with other modalities using acoustics, radiation, and the magnetic field to take advantage of optical contrast while supplementing its limitation in field-of-view and/or sensing depth. However, such biophotonic sensors necessitate meticulous design to guarantee an expected clinical performance with restrictions in space, spatiotemporal resolution, contrast, and/or theranostic efficacy in sophisticated multimodal approaches.

This Special Issue on “Optical Sensors in Multi-Modal Imaging” invites cutting-edge technologies in biophotonics pushing the envelope of current clinical conventions with the best effective multimodal approaches in clinics. This issue accepts both high-quality original research articles and review articles, by which comprehensive perspectives will be given to readers from past breakthroughs to the state-of-the-art. We also encourage researchers to report translational developments in a pathway toward clinical applications.

The Special Issue includes but is not limited to the following applications:

  • Biophotonics in multimodal diagnostics and interventions;
  • Optical sensors in multimodal integration;
  • Physical, chemical optical sensors;
  • Advanced optical design;
  • Optoelectronic devices;
  • Implantable/miniaturized/portable optical devices;
  • Advanced image/signal processing;
  • Sensor fusion;
  • Optical biomarkers for multi-modal diagnostics or theranostics;
  • Multimodal techniques for pre/clinical applications;
  • Machine learning techniques for effective multimodal diagnostics and interventions.

Dr. Jeeun Kang
Prof. Dr. Changho Lee
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. 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.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

18 pages, 12501 KiB  
Article
Integration and Application of Multimodal Measurement Techniques: Relevance of Photogrammetry to Orthodontics
by Dariusz Pojda, Agnieszka Anna Tomaka, Leszek Luchowski and Michał Tarnawski
Sensors 2021, 21(23), 8026; https://0-doi-org.brum.beds.ac.uk/10.3390/s21238026 - 01 Dec 2021
Cited by 10 | Viewed by 2277
Abstract
Multimodal imaging, including 3D modalities, is increasingly being applied in orthodontics, both as a diagnostic tool and especially for the design of intraoral appliances, where geometric accuracy is very important. Laser scanners and other precision 3D-imaging devices are expensive and cumbersome, which limits [...] Read more.
Multimodal imaging, including 3D modalities, is increasingly being applied in orthodontics, both as a diagnostic tool and especially for the design of intraoral appliances, where geometric accuracy is very important. Laser scanners and other precision 3D-imaging devices are expensive and cumbersome, which limits their use in medical practice. Photogrammetry, using ordinary 2D photographs or video recordings to create 3D imagery, offers a cheaper and more convenient alternative, replacing the specialised equipment with handy consumer cameras. The present study addresses the question of to what extent, and under what conditions, this technique can be an adequate replacement for the 3D scanner. The accuracy of simple surface reconstruction and of model embedding achieved with photogrammetry was verified against that obtained with a triangulating laser scanner. To roughly evaluate the impact of image imperfections on photogrammetric reconstruction, the photographs for photogrammetry were taken under various lighting conditions and were used either raw or with a blur-simulating defocus. Video footage was also tested as another 2D-imaging modality feeding data into photogrammetry. The results show the significant potential of photogrammetric techniques. Full article
(This article belongs to the Special Issue Optical Sensors in Multi-Modal Imaging)
Show Figures

Figure 1

19 pages, 33322 KiB  
Article
Multimodal Imagery in Forensic Incident Scene Documentation
by Leszek Luchowski, Dariusz Pojda, Agnieszka Anna Tomaka, Krzysztof Skabek and Przemysław Kowalski
Sensors 2021, 21(4), 1407; https://0-doi-org.brum.beds.ac.uk/10.3390/s21041407 - 17 Feb 2021
Cited by 6 | Viewed by 2046
Abstract
Various imaging modalities are evaluated for use in forensic incident (crime or accident) scene documentation. Particular attention is paid to the precision vs. cost tradeoff, accomplished by judiciously combining various 3D scans and photogrammetric reconstructions from 2D photographs. Assumptions are proposed for two [...] Read more.
Various imaging modalities are evaluated for use in forensic incident (crime or accident) scene documentation. Particular attention is paid to the precision vs. cost tradeoff, accomplished by judiciously combining various 3D scans and photogrammetric reconstructions from 2D photographs. Assumptions are proposed for two complementary software systems: an event scene pilot assisting the on-site staff in their work securing evidence and facilitating their communication with stationary support staff, and an evidence keeper, managing the voluminous and varied database of accumulated imagery, textual notes and physical evidence inventory. Full article
(This article belongs to the Special Issue Optical Sensors in Multi-Modal Imaging)
Show Figures

Figure 1

Back to TopTop